CrawlJobs Logo
Premium Health Logo Premium Health · IT - Software Development

Data Engineering & Analytics Lead

United States, Brooklyn · Job Posted December 11, 2025
Apply Position
Job Link Share

Job Description

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytics Lead to elevate our data capabilities, and build a scalable, modern data ecosystem that enables data-driven insights to enhance patientcare, optimize operations, and support strategic decision-making. This role combines leadership with day-to-day engineering. The Data Engineering & Analytics Lead will design and implement our core data infrastructure, lead analytics initiatives, and collaborate with cross-functional teams to shape how data is used throughout the organization. The lead will serve as both a thought leader and a hands-on technical implementor, architecting our data environment, establishing data standards and governance, building pipelines and models, and developing analytics solutions, while growing and mentoring a small data function over time.

Job Responsibility

  • Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
  • Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
  • Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
  • Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
  • Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
  • Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
  • Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
  • Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
  • Implement robust data quality processes, validation, monitoring, and error-handling frameworks
  • Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications
  • Partner with clinical, operational, and business leaders to understand data needs and translate them into scalable analytical models and datasets
  • Develop and maintain dashboards, performance metrics (KPIs), and reporting solutions to support strategic and operational decision-making
  • Enable self-service analytics by building curated, trusted data assets and collaborating with BI resources to expand organizational insight capabilities
  • Lead the development and implementation of data governance and data quality processes to ensure data accuracy, consistency, and reliability
  • Ensure compliance with healthcare regulations and data protection standards (e.g.,HIPAA), embedding privacy and security controls into all data workflows
  • Collaborate with IT and security teams to implement appropriate access controls, encryption, row-level security, and secure credential management
  • Work closely with IT, clinical, finance, and operational teams to ensure seamless integration of data solutions with existing systems and applications
  • Translate complex technical concepts into clear, actionable insights for non-technical stakeholders
  • Foster data literacy and cultivate analytical skillsets across the organization to strengthen data-driven culture and decision making
  • Communicate insights and recommendations effectively to executive stakeholders, translating findings into actionable insights understandable by non-technical stakeholders
  • Evaluate emerging tools, technologies, and architectural patterns to identify opportunities for innovation and operational improvement
  • Continuously improve pipeline performance, data reliability, data modeling practices, and platform scalability
  • Stay current with trends in data engineering, analytics, cloud platforms, and healthcare technology

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
  • Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
  • healthcare experience preferred
  • Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
  • Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
  • Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
  • Understanding of healthcare data, including clinical, operational, and financial data models, preferred
  • Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
  • Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
  • Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)
  • Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Microsoft Fabric, Snowflake, Redshift, BigQuery)
  • Experience with Microsoft’s data ecosystem including Azure Data Factory, Azure SQL, Azure Data Lake, Microsoft Fabric, and Purview is highly desirable
  • Strong understanding of data security principles, including access controls, encryption, credential handling, and secure pipeline development
  • Experience with data visualization and analytics tools (e.g.,Tableau, Power BI) and statistical analysis tools (e.g., R, Python)
  • Demonstrated leadership and team management skills, with the ability to guide and mentor data engineers and analysts and foster technical excellence
  • Excellent analytical, problem-solving, and debugging skills, with a keen attention to detail
  • Strong communication and stakeholder management skills, with the ability to effectively convey complex technical concepts to non-technical audiences
  • Ability to work in a fast-paced, dynamic environment and manage multiple priorities effectively
  • Results oriented self-starter with strong initiative, ownership mentality, and the ability to manage commitments and deadlines independently

What we offer

  • Paid Time Off, Medical, Dental and Vision plans, Retirement plans
  • Public Service Loan Forgiveness (PSLF)
Premium Health - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Data Engineering & Analytics Lead

8 matching positions

Data Engineering Lead - Reporting and Analytics - Vice President

Are you looking for a career move that will put you at the heart of a global fin...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong experience in building high scalable, reliable dashboards covering suite of industry products like Tableau, AG Grid, Oracle and Java
  • Well versed with Front end - React, Angular and Back end Tech stack
  • Experience in all aspects of Data using Python for Reconciliations, Data Comparison, Data Quality and Data Security for SAAS or Cloud based platform
  • Relevant experience in leading development for enterprise scale platforms, products, or frameworks preferably using Unix/SQL/Oracle/NoSql/Netezza/Teradata
  • Strong experience in managing development activities for applications with huge Data and complex rules/transformations
  • Demonstrated experience in collaborating with different teams to ensure proactive Cross application/downstream impact analysis, responsible for creating test plans and strategy across multiple business critical applications in Finance
  • Experience with existing Citi applications, implementations and Configurations
Job Responsibility
Job Responsibility
  • Leading the buildout of Engineering tools, real time dashboards using Tableau, AG Grid, Java, Unix and Oracle
  • Build AI capabilities for all qualified used cases
  • Performing initiatives related to Development, Functional Testing, SIT, User Acceptance Testing (UAT) process and product rollout into production
  • You will be a specialist who works with technology project managers, UAT professionals and users to design and implement appropriate scripts/plans for an application testing strategy/approach
  • Responsibilities may also include software quality assurance testing
  • Analyses trends at an organizational level to improve data related processes
  • follows and analyses AI industry trends and how to fit those in Citi ecosystem
  • Responsible for handling day-to-day staff management issues, including resource management and allocation of work within the team/project
What we offer
What we offer
  • Generous holiday allowance starting at 27 days plus bank holidays
  • increasing with tenure
  • A discretional annual performance related bonus
  • Private medical insurance packages to suit your personal circumstances
  • Employee Assistance Program
  • Pension Plan
  • Paid Parental Leave
  • Special discounts for employees, family, and friends
  • Access to an array of learning and development resources
  • Fulltime
Read More
Arrow Right

Data Analytics Lead - Data Scientist - Vice President

The Data Analytics Lead / Data Scientist is a strategic professional who stays a...
Location
Location
India , Chennai; Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10-15 years of relevant experience in Data Analytics, Data Science, or Advanced Analytics roles
  • Advanced proficiency in SQL and relational database concepts
  • Strong programming experience in Python (required)
  • PySpark preferred
  • Hands-on experience building and deploying machine learning models (supervised and unsupervised)
  • Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch
  • Strong knowledge of statistical modeling, feature engineering, and model validation techniques
  • Experience with BI tools such as Tableau or Power BI
  • Familiarity with MLOps practices (model deployment, monitoring, versioning) is strongly preferred
  • Experience working with large-scale enterprise or financial datasets
Job Responsibility
Job Responsibility
  • Integrates subject matter and industry expertise within a defined area
  • Contributes to data analytics standards around which others will operate
  • Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function
  • Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers
  • Resolves occasionally complex and highly variable issues
  • Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken
  • Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
  • Lead the design and execution of complex data analysis and AI/ML initiatives across large, structured, and unstructured datasets
  • Develop and deploy predictive, classification, clustering, and forecasting models to support business strategy and risk management
  • Fulltime
Read More
Arrow Right

Manager – Data & Analytics Engineering

The Manager – Data & Analytics Engineering leads teams responsible for deliverin...
Location
Location
United States of America , Denver
Salary
Salary:
102900.00 - 174240.00 USD / Year
arrow.com Logo
Arrow Electronics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in business intelligence, data engineering, analytics, or related technical roles
  • 2–4 years managing technical teams
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience
  • Experience managing technical teams delivering data engineering, analytics, or BI solutions
  • Ability to manage competing priorities and drive delivery across multiple initiatives
  • Strong collaboration and stakeholder engagement skills
  • Strong understanding of modern data and analytics technologies including: Azure data platform
  • Databricks and lakehouse architecture
  • dbt or analytics engineering frameworks
  • Power BI and enterprise reporting platforms
Job Responsibility
Job Responsibility
  • Lead teams responsible for developing and operating the organization’s Azure-based data platform leveraging Databricks and lakehouse architecture
  • Oversee development of scalable data ingestion pipelines, transformation workflows, and curated datasets using modern data engineering and analytics engineering practices
  • Establish engineering standards for data pipelines, data transformations, monitoring, testing, and deployment
  • Guide development of curated analytical data models and transformation frameworks
  • Ensure consistent business metrics, dimensional models, and reusable datasets are developed to support reporting and analytics
  • Promote development of well-documented enterprise data products that support multiple analytical use cases
  • Oversee development and governance of Power BI dashboards, semantic models, and enterprise reporting solutions
  • Ensure reporting assets deliver accurate and consistent insights across business functions
  • Support adoption of self-service analytics capabilities while maintaining strong governance and data consistency
  • Ensure ongoing production support for the data platform, data pipelines, and reporting environments
What we offer
What we offer
  • Medical, Dental, Vision Insurance
  • 401k, With Matching Contributions
  • Short-Term/Long-Term Disability Insurance
  • Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options
  • Paid Time Off (including sick, holiday, vacation, etc.)
  • Tuition Reimbursement
  • Growth Opportunities
  • Discounted RTD Passes, with convenient office location off RTD Light Rail (Dry Creek Exit)
  • On-site Café with Catering Option for Busy Lifestyles
  • 24/7/365 On-site Gym and Lockers, Free for Use to All Employees!
  • Fulltime
Read More
Arrow Right

Data Analytics Lead

The Senior Vice President, Data Analytics Lead is a senior leadership role withi...
Location
Location
Hong Kong SAR , Kowloon
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of experience in software engineering, data engineering, or data analytics within Banking or Financial Services
  • Strong hands-on engineering background with proven ability to design, build, and maintain production-grade data systems
  • Proven track record of managing small technical teams while remaining a significant individual contributor
  • Deep business knowledge of financial data, particularly in Markets business — including orders, executions, trade processing, position management, and related trade lifecycle data. Prime Services / Prime Brokerage background strongly preferred
  • Experience working with quantitative analysts and business stakeholders to translate requirements into technical solutions
  • Experience supporting global production environments, including off-hours batch processing and operational support
  • Experience working at senior levels with executive stakeholders and business leaders
  • Programming Languages: Strong hands-on proficiency in Python and Java for building data pipelines, analytics tools, and production applications
  • Data Integration: Extensive knowledge of data ingestion and distribution frameworks, both enterprise and open-source
  • Financial Data Domain: Deep understanding of markets financial data — orders, executions, trade processing, position management, P&L, risk, and reference data
Job Responsibility
Job Responsibility
  • Design, develop, and maintain data analytics pipelines and platforms using Python and Java
  • Build and optimize data sourcing integrations to ingest data from multiple platforms within Prime Services and Markets Technology
  • Develop analytics tools and dashboards that enable business users and quantitative analysts to derive insights from financial data
  • Write production-quality, well-tested, and maintainable code
  • participate in code reviews and enforce engineering best practices
  • Architect scalable data solutions for processing large volumes of orders, executions, trades, and position data
  • Implement and maintain batch processing jobs and automated workflows for data transformation and distribution
  • Troubleshoot and resolve complex technical issues across the data platform stack
  • Manage and lead a small team of developers and data analysts, providing hands-on technical guidance and mentorship
  • Be the escalation point for the local business and production support teams
  • Fulltime
Read More
Arrow Right

Senior Squad Lead – Data Engineering

As Senior Squad Lead – Data Engineering, key responsibilities will include: Lead...
Location
Location
United Kingdom , Newcastle
Salary
Salary:
130000.00 GBP / Year
t2mresourcing.com Logo
T2M Resourcing
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Leading a pod/squad of 6 Data Engineers building data intensive application and pipelines
  • Broad experience in platform, deployment and hosting (AWS, Azure or GCP), as well as tools like Airflow, Spark and Databricks
  • Curious leader, with high EQ, who enjoys solving stakeholder problems
  • Track record of performant pod or squad leadership
  • Must be eligible for or already hold SC clearance
  • Sole UK nationals only
Job Responsibility
Job Responsibility
  • Leading a pod/squad of 6 Data Engineers building data intensive application and pipelines
  • Working on a range of defence applications from data analytics and Intelligence platforms, defence AI, drones to command-and-control systems
  • Fulltime
Read More
Arrow Right

Data Analytics Lead Analyst

The Data Analytics Lead / Data Scientist is a strategic professional who stays a...
Location
Location
India , Chennai; Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10-15 years of relevant experience in Data Analytics, Data Science, or Advanced Analytics roles
  • Advanced proficiency in SQL and relational database concepts
  • Strong programming experience in Python (required)
  • PySpark preferred
  • Hands-on experience building and deploying machine learning models (supervised and unsupervised)
  • Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch
  • Strong knowledge of statistical modeling, feature engineering, and model validation techniques
  • Experience with BI tools such as Tableau or Power BI
  • Familiarity with MLOps practices (model deployment, monitoring, versioning) is strongly preferred
  • Experience working with large-scale enterprise or financial datasets
Job Responsibility
Job Responsibility
  • Integrates subject matter and industry expertise within a defined area
  • Contributes to data analytics standards around which others will operate
  • Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function
  • Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers
  • Resolves occasionally complex and highly variable issues
  • Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken
  • Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
  • Lead the design and execution of complex data analysis and AI/ML initiatives across large, structured, and unstructured datasets
  • Develop and deploy predictive, classification, clustering, and forecasting models to support business strategy and risk management
  • Fulltime
Read More
Arrow Right

Vp lending data engineering & analytics technology

This is a senior technology and data leadership role responsible for the design,...
Location
Location
India , Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10–15 years of experience in Financial Services, with a strong focus on data analytics, data engineering, and technology delivery within complex, regulated environments
  • Proven experience delivering Lending or Credit domain data solutions, preferably across servicing, payments, statements, risk, or regulatory reporting
  • Solid understanding of RDBMS (SQL, PL/SQL) with knowledge in NoSQL databases (e.g., Cassandra, MongoDB, DynamoDB)
  • Solid experience in data modeling (conceptual, logical, and physical), including definition of metrics, hierarchies, and business rules to support analytics and reporting
  • Experience designing and delivering end‑to‑end data solutions across multiple systems, including source‑to‑target mappings, data pipelines, and downstream consumption (reports, dashboards, extracts)
  • Strong understanding of data governance, data quality controls, lineage, reconciliation, and regulatory reporting requirements in a banking environment
  • Familiarity with distributed data platforms, databases, and integration patterns
  • experience with Java-based systems is a plus but not mandatory
  • Ability to translate business, risk, and regulatory requirements into clear analytical specifications, data structures, and actionable insights
  • Experience working in Agile delivery models, collaborating closely with Product, Operations, Risk, and Technology stakeholders
Job Responsibility
Job Responsibility
  • Analyze Wealth Lending Servicing data to deliver actionable insights supporting business, operations, risk, and regulatory reporting needs
  • Own definition, calculation, and validation of key Lending metrics and KPIs to ensure consistency across platforms and reports
  • Design and maintain logical and physical data models, translating business and regulatory requirements into clear data and analytical specifications
  • Partner with application, platform, and integration teams to deliver scalable, resilient data pipelines and analytical solutions
  • Ensure data quality, integrity, reconciliation, and exception handling across end‑to‑end Lending Servicing data flows
  • Maintain end‑to‑end data lineage and traceability, ensuring compliance with enterprise architecture and regulatory standards
  • Act as a bridge between business, product, operations, risk, compliance, and technology teams to align data solutions with business intent
  • Contribute as a senior data lead in Agile delivery teams, defining data stories, validating outputs, and driving timely execution
  • Proactively identify data issues and improvement opportunities, driving remediation to enhance platform reliability and data transparency
  • Influence stakeholders through clear, data‑driven communication and well‑reasoned analytical recommendations
  • Fulltime
Read More
Arrow Right

Data Engineering Lead

Role: Data Engineering Lead. Location: New York, NY. FTE ONLY. Must Have Technic...
Location
Location
United States , New York
Salary
Salary:
138000.00 USD / Year
realign-llc.com Logo
Realign
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • AWS Data Engineering Services (EMR/Glue, Redshift, Aurora, S3, Lambda)
  • Spark
  • Python
  • Collibra
  • Snowflake/Databricks
  • Tableau
  • 4–15 years of professional data engineering experience
  • Strong Python, SQL, and Spark (PySpark) skills, and/or Kafka
  • Snowflake (Snowpipe, Tasks, Streams) as a complementary warehouse
  • Databricks (Delta formats, workflows, cataloging) or equivalent Spark platforms
Job Responsibility
Job Responsibility
  • Ingest and model data from APIs, files/SFTP, and relational sources
  • implement layered architectures (raw/clean/serving) using PySpark/SQL and dbt, Python
  • Design and operate pipelines with Prefect (or Airflow), including scheduling, retries, parameterization, SLAs, and well documented runbooks
  • Build on cloud data platforms, leveraging S3/ADLS/GCS for storage and a Spark platform (e.g., Databricks or equivalent) for compute
  • manage jobs, secrets, and access
  • Publish governed data services and manage their lifecycle with Azure API Management (APIM) authentication/authorization, policies, versioning, quotas, and monitoring
  • Enforce data quality and governance through data contracts, validations/tests, lineage, observability, and proactive alerting
  • Optimize performance and cost via partitioning, clustering, query tuning, job sizing, and workload management
  • Uphold security and compliance (e.g., PII handling, encryption, masking) in line with firm standards
  • Collaborate with stakeholders (analytics, AI engineering, and business teams) to translate requirements into reliable, production ready datasets
  • Fulltime
Read More
Arrow Right