Data Engineer - Regulatory Reporting Job at Clear Street (New York)

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

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)

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

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Principal Data Engineer

We are seeking an experienced Principal Data Engineer to define, lead, and scale...

Location

United Kingdom , Thame; Leeds

Salary:

80000.00 - 100000.00 GBP / Year

PEXA UK

Expiration Date

Until further notice

Requirements

Broad experience as a Data Engineer including technical leadership
Broad cloud experience, ideally both Azure and AWS
Deep expertise in PySpark and distributed data processing at scale
Extensive experience designing and optimising in Databricks
Advanced SQL optimisation and schema design for analytical workloads
Strong understanding of data security, privacy, and GDPR/PII compliance
Experience implementing and leading data governance frameworks
Proven experience leading the design and operation of a complex data platform
Track record of mentoring engineers and raising technical standards
Ability to influence senior stakeholders and align data initiatives with wider business goals

Job Responsibility

Design and oversee scalable, performant, and secure architectures on Databricks and distributed systems
Anticipate scaling challenges and ensure platforms are future-proof
Lead the design and development of robust, high-performance data pipelines using PySpark and Databricks
Define and ensure testing frameworks for data workflows
Ensure end-to-end data quality from raw ingestion to curated, trusted datasets powering analytics
Establish and enforce best practices for data governance, lineage, metadata, and security controls
Ensure compliance with GDPR and other regulatory frameworks
Act as a technical authority and mentor, guiding data engineers
Influence cross-functional teams to align on data strategy, standards, and practices
Partner with product, engineering, and business leaders to prioritise and deliver high-impact data initiatives

Fulltime

Data Engineer, Solutions Architecture

We are seeking a talented Data Engineer to design, build, and maintain our data ...

Location

United States , Scottsdale

Salary:

90000.00 - 120000.00 USD / Year

Clearway Energy

Expiration Date

Until further notice

Requirements

2-4 years of hands-on data engineering experience in production environments
Bachelor's degree in Computer Science, Engineering, or a related field
Proficiency in Dagster or Airflow for pipeline scheduling, dependency management, and workflow automation
Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
Strong Python and SQL skills for data processing and automation
1-2+ years of experience with continuous integration and continuous deployment practices and tools (Git, GitHub Actions, GitLab CI, or similar)
Advanced SQL skills, database design principles, and experience with multiple database platforms
Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
Experience with APIs, streaming platforms (Kafka, Kinesis), and various data connectors and formats

Job Responsibility

Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
Optimize query performance and resource utilization to control costs and improve processing speed
Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
Implement workflow automation and dependency management for critical business operations
Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
Support advanced analytics initiatives through proper data preparation and feature engineering
Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets

What we offer

generous PTO
medical, dental & vision care
HSAs with company contributions
health FSAs
dependent daycare FSAs
commuter benefits
relocation
a 401(k) plan with employer match
a variety of life & accident insurances
fertility programs

Fulltime

Data Analyst - Regulatory

Guide Regulatory Reporting product strategy by connecting business, technical, a...

Location

Brazil , São José dos Campos

Salary:

Not provided

Adyen

Expiration Date

Until further notice

Requirements

Availability to work 3 days in person on São José dos Campos (SP)
4+ years of experience as a Data Analyst or in a related role
Proficiency in SQL, Python, and BI tools (e.g., Looker)
Familiarity with big data tools is a strong advantage
Expert executor able to break down complex problems, prioritize effectively, and align work with strategic goals
Strong collaborator and communicator able to manage diverse stakeholders and translate complex insights for technical and non-technical audiences in a global team
Curious and experimental mindset with a drive to iterate, improve, and find better solutions

Job Responsibility

Take ownership of high-impact data initiatives from start to finish
Shape business and product strategy by using deep customer understanding to challenge assumptions and identify new opportunities
Translate data into a compelling vision and communicate a clear technical vision and strategy to align technical and business leaders
Set the standard by finding simple and scalable solutions to complex problems and establishing best practices for data use across the company
Act as a multiplier across engineering by unblocking other teams and mentoring colleagues through feedback and code reviews

Fulltime

Big Data Scala Engineering Developer

The Applications Development Senior Programmer/Lead Analyst is an senior level p...

Location

India , Pune; Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Strong solid understanding of the Big Data architecture and the ability to trouble shoot performance and/or development issues on Hadoop (Cloudera preferably)
9+ years of experience working with Hive, Impala and Hbase, Kudu Spark for data curation/conformance related work
Strong proficiency in Spark for development work related to curation/conformance
Strong Scala developer (with previous Java background) preferred
Experience with Spark/Storm/Kafka or equivalent streaming/batch processing and event based messaging
Strong data analysis skills and the ability to slice and dice the data as needed for business reporting
Experience working in an agile environment with a fast paced changing requirements
Excellent planning and organizational skills
Strong Communication skills
Bachelor's degree/University degree or equivalent experience

Job Responsibility

Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation
Provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Interface with product teams to understand their requirements to build the ingestion pipelines and conformance layer
Work closely with the data ingestion team to track the requirements and drive the build out of the canonical models

Fulltime

Data Engineer Senior

We are looking for a highly skilled professional to lead the industrialisation o...

Location

Portugal , Lisbon

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Minimum of 5 years’ experience in MLOps, data engineering, or DevOps with a focus on ML/DL/LLM/AI agents in production environments
Strong proficiency in Python
Hands-on experience with CI/CD tools such as GitLab, Docker, Kubernetes, Jenkins
Solid understanding of ML, DL, and LLM models
Experience with ML lifecycle tools such as MLflow or DVC
Good understanding of model lifecycle, data traceability, and governance frameworks
Experience with on-premise and hybrid infrastructures
Excellent communication skills and ability to collaborate with remote teams
Proactive mindset, technical rigour, and engineering mentality
Willingness to learn, document, and standardise best practices

Job Responsibility

Analyse, monitor, and optimise ML models, tracking their performance
Design and implement CI/CD pipelines for ML models and data flows
Containerise and deploy models via APIs, batch processes, and streaming
Manage model versioning and traceability
Ensure continuous improvement and adaptation of AI use cases and ML models
Set up monitoring and alerting for model performance
Establish incident response protocols in collaboration with IT
Maintain dashboards and automated reports on model health
Implement validation frameworks for data and models (e.g., Great Expectations, unit tests, stress tests), in collaboration with Group Governance
Contribute to documentation and apply technical best practices

What we offer

Work in a constantly evolving environment
Contribute to digital impact
Opportunity for growth and development

Fulltime

Head of Quality – Customer Reporting and Data Analytics

As Head of Quality – Customer Reporting and Data Analytics, your primary goal wi...

Location

United States , Miami, FL / Boston

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

10+ years of experience in data analytics, business intelligence, or data product management
At least 3 years in a leadership or head-of-function role
Proven experience delivering data or analytics products to enterprise customers, ideally in retail, AI, or SaaS environments
Deep understanding of data quality frameworks, reporting pipelines, and analytics visualization platforms (e.g., Tableau, Power BI, Looker, or similar)
Strong familiarity with data engineering workflows (ETL, data modeling, API integrations)
Experience leading cross-functional collaboration across product, engineering, and commercial teams
Exceptional analytical, strategic thinking, and communication skills
Knowledge of retail operations, shrinkage, and loss prevention analytics
Proven ability to build scalable reporting and analytics products from concept to market

Job Responsibility

Build and own the Customer Intelligence Product Line that delivers actionable insights derived from Everseen’s AI platform and integrated third-party data sources
Define and maintain data quality and reporting standards to ensure reliable, consistent, and accurate insights for all customer-facing analytics products
Collaborate cross-functionally with the Data & Intelligence, Engineering, Research, Operations, and Sales & Marketing teams
Champion quality and continuous improvement, ensuring data integrity, performance consistency, and adherence to regulatory or contractual data standards
Develop and manage KPIs for intelligence product adoption, customer satisfaction, and product quality
Partner with Sales and Customer Success to translate intelligence insights into customer value stories and revenue opportunities
Lead a small but growing team of data quality analysts, reporting specialists, and data product managers as the product line scales

Fulltime

Cyber Security Engineer - Data Encryption

Data Encryption and Compliance will be responsible for supporting the management...

Location

United States , Isline, NJ, Columbus, OH, Chandler, AZ, or Westlake, TX

Salary:

Not provided

Enormous Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience)
Basic understanding of data encryption concepts, security protocols, or related technologies
Strong analytical and problem-solving skills with an eagerness to learn and develop technical expertise
Familiarity with compliance and regulatory environments, particularly in financial services, is a plus
Excellent communication and collaboration skills
Experience: 9+ years
Data Encryption Management
Compliance and Risk Management

Job Responsibility

Assist in the implementation, maintenance, and support of encryption technologies to secure structured data at rest
Monitor encryption systems and processes to ensure optimal performance and security
Work with a variety of vendors to implement and manage encryption solutions
Support vendor assessments and ensure adherence to compliance and security requirements
Contribute to the development and integration of encryption tools and processes
Provide hands-on support for technical issues and enhancements
Assist with compliance-related activities, including audits, regulatory reporting, and maintaining documentation
Ensure all encryption practices align with industry standards, regulatory requirements, and internal policies
Work closely with senior engineers and leadership to support the team’s goals and objectives
Participate in training opportunities to develop expertise in data encryption technologies and compliance practices

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Data Engineer - Regulatory Reporting

Job Description

Job Responsibility

Requirements

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What we offer

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