CrawlJobs Logo

Senior Manager- Data Engineering

United States, Lisle 96404.10 - 169021.85 USD / Year · Job Posted January 06, 2026
Apply Position
Job Link Share

Job Description

Adtalem is a data-driven organization dedicated to driving best-in-class student outcomes. The Data Engineering team builds the foundation that powers analytics, AI, and strategic business decisions through robust data platforms, pipelines, and governance policies. We are seeking a Senior Manager, Data Engineering to lead the design, development, and continual improvement of our data solutions. This role combines hands-on technical expertise with leadership, guiding a high-performing team to deliver reliable, timely, and trusted data that drives business impact.

Job Responsibility

  • Lead the design, implementation, and optimization of data pipelines, datasets, and metrics critical to business decisions
  • Build, mentor, and inspire a high-performing data engineering team
  • Define strategies for data acquisition, collection, and utilization across the organization
  • Establish and manage SLAs for all production datasets and processes
  • Collaborate closely with Product Managers, Analysts, and Data Scientists to develop and maintain data-driven systems
  • Develop self-service reporting and democratization layers to empower teams with data
  • Troubleshoot, code, test, and document solutions to ensure quality and reliability
  • Evaluate current processes to optimize interdepartmental communication, collaboration, and end-to-end process performance
  • Define technology roadmaps and manage incremental execution to achieve short- and long-term business goals
  • Serve as a key leader within the Data and Analytics organization, fostering a data-driven culture
  • Comply with company policies and standards while performing additional duties as needed
  • Travel up to 5% as required

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, or related technical field
  • Eight (8) plus years in data engineering (data platforms, ingestion, management, or analytics)
  • Three (3) plus years in leadership roles building and managing high-performing teams
  • 2+ years experience with Google Cloud Platform services such as BigQuery, Composer, GCS, DataStream, and Dataflows
  • Proven track record of progressive responsibility starting as a Data Engineer, advancing to higher levels of complexity and ownership
  • Strong analytical skills with the ability to develop and reverse complex engineering solutions
  • Excellent oral, written, and presentation skills, translating complex technical material for management and stakeholders
  • Experience defining roadmaps, managing incremental execution, and delivering successful launches
  • Ability to manage multiple, competing priorities in an Agile, fast-paced environment
  • Experience mentoring and growing data engineers
  • Critical thinking, advanced problem-solving, and a proactive approach to improving processes

What we offer

  • Health, dental, vision, life and disability insurance
  • 401k Retirement Program + 6% employer match
  • Participation in Adtalem’s Flexible Time Off (FTO) Policy
  • 12 Paid Holidays
  • Eligible to participate in an annual incentive program

Looking for more opportunities?

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

Similar Jobs for

Senior Manager- Data Engineering

8 matching positions

Senior Data Project Manager

We’re looking for a Senior Data Project Manager to lead high-impact, cross-funct...
Location
Location
Spain , Madrid
Salary
Salary:
Not provided
https://feverup.com/fe Logo
Fever
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Have a background in Engineering, Mathematics, Data Science, or a related field (STEM degree)
  • Are experienced working in technical environments, alongside data scientists and engineers
  • Bring strong project management and organizational skills
  • Are comfortable working with SQL and Python to understand data workflows, validate outputs, and collaborate more effectively with technical teams
  • Use data and analytical thinking to guide decisions
  • Communicate effectively with different types of stakeholders
  • Value teamwork, inclusion, and collaborative problem solving
  • Are comfortable prioritizing and adapting in fast-changing situations
  • Have professional fluency in English as well as Spanish (spoken and written)
  • Are based in Madrid or willing to relocate, and open to working 2 days per week from the office
Job Responsibility
Job Responsibility
  • Understand company priorities and identify relevant opportunities across the Data organization
  • Define project scopes and success metrics, coordinating with technical and non-technical teams
  • Create clear timelines, set realistic milestones, and help remove roadblocks along the way
  • Maintain project momentum and adapt as needed in a fast-paced environment
  • Communicate regularly with stakeholders to ensure alignment, transparency, and shared goals
  • Help bring structure, clarity, and focus to cross-functional initiatives
What we offer
What we offer
  • Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance
  • Stock options
  • Opportunity to have a real impact in a high-growth global category leader
  • 40% discount on all Fever events and experiences
  • Home office friendly, location in Madrid required
  • Responsibility from day one and professional and personal growth
  • Great work environment with a young, international team of talented people to work with
  • Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
  • English Lessons
  • Gympass Membership
  • Fulltime
Read More
Arrow Right

Data Engineer Senior

We are looking for a highly skilled professional to lead the industrialisation o...
Location
Location
Portugal , Lisbon
Salary
Salary:
Not provided
https://www.inetum.com Logo
Inetum
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • Work in a constantly evolving environment
  • Contribute to digital impact
  • Opportunity for growth and development
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

Senior Data Engineer role driving Circle K's cloud-first strategy to unlock the ...
Location
Location
India , Gurugram
Salary
Salary:
Not provided
https://www.circlek.com Logo
Circle K
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Engineering, Computer Science or related discipline
  • Master's Degree preferred
  • 5+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment
  • 5+ years of experience with setting up and operating data pipelines using Python or SQL
  • 5+ years of advanced SQL Programming: PL/SQL, T-SQL
  • 5+ years of experience working with Snowflake, including Snowflake SQL, data modeling, and performance optimization
  • Strong hands-on experience with cloud data platforms such as Azure Synapse and Snowflake for building data pipelines and analytics workloads
  • 5+ years of strong and extensive hands-on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data
  • 5+ years of experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Databricks/Spark, Azure SQL DW/Synapse, and Azure functions
  • 5+ years of experience in defining and enabling data quality standards for auditing, and monitoring
Job Responsibility
Job Responsibility
  • Collaborate with business stakeholders and other technical team members to acquire and migrate data sources
  • Determine solutions that are best suited to develop a pipeline for a particular data source
  • Develop data flow pipelines to extract, transform, and load data from various data sources
  • Efficient in ETL/ELT development using Azure cloud services and Snowflake
  • Work with modern data platforms including Snowflake to develop, test, and operationalize data pipelines
  • Provide clear documentation for delivered solutions and processes
  • Identify and implement internal process improvements for data management
  • Stay current with and adopt new tools and applications
  • Build cross-platform data strategy to aggregate multiple sources
  • Proactive in stakeholder communication, mentor/guide junior resources
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

Senior Data Engineer position at Checkr, building the data platform to power saf...
Location
Location
United States , San Francisco
Salary
Salary:
162000.00 - 190000.00 USD / Year
https://checkr.com Logo
Checkr
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of development experience in the field of data engineering
  • 5+ years writing PySpark
  • Experience building large-scale (100s of Terabytes and Petabytes) data processing pipelines - batch and stream
  • Experience with ETL/ELT, stream and batch processing of data at scale
  • Strong proficiency in PySpark and Python
  • Expertise in understanding of database systems, data modeling, relational databases, NoSQL (such as MongoDB)
  • Experience with big data technologies such as Kafka, Spark, Iceberg, Datalake and AWS stack (EKS, EMR, Serverless, Glue, Athena, S3, etc.)
  • Knowledge of security best practices and data privacy concerns
  • Strong problem-solving skills and attention to detail
Job Responsibility
Job Responsibility
  • Create and maintain data pipelines and foundational datasets to support product/business needs
  • Design and build database architectures with massive and complex data, balancing with computational load and cost
  • Develop audits for data quality at scale, implementing alerting as necessary
  • Create scalable dashboards and reports to support business objectives and enable data-driven decision-making
  • Troubleshoot and resolve complex issues in production environments
  • Work closely with product managers and other stakeholders to define and implement new features
What we offer
What we offer
  • Learning and development reimbursement allowance
  • Competitive compensation and opportunity for professional and personal advancement
  • 100% medical, dental, and vision coverage for employees and dependents
  • Additional vacation benefits of 5 extra days and flexibility to take time off
  • Reimbursement for work from home equipment
  • Lunch four times a week
  • Commuter stipend
  • Abundance of snacks and beverages
  • Fulltime
Read More
Arrow Right

Senior Engineering Manager - AI/ML

Hewlett Packard Enterprise is looking for a Senior Engineering Manager - AI/ML t...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, engineering, data science, artificial intelligence, machine learning, or closely related quantitative discipline
  • 7-15 years’ experience including 5 or more years of people management experience
  • Advanced Degree (Master’s or Ph.D.) strongly preferred
  • Strong problem-solving and analytical skills, with the ability to identify business opportunities, formulate strategies, and execute projects effectively
  • Excellent communication and presentation skills, with the ability to convey complex technical concepts to technical and non-technical stakeholders
  • Proven ability to manage multiple projects and priorities in a fast-paced environment, ensuring timely delivery and high-quality results
  • Experience with cloud platforms, big data technologies, and distributed computing frameworks is a plus
  • Strong understanding of data privacy, security, and ethical considerations in AI and machine learning
  • Strong technical expertise in AI and machine learning algorithms, models, and tools, with proficiency in programming languages such as Python or R
  • Demonstrated leadership and management skills, with experience in leading and mentoring AI and machine learning professional teams.
Job Responsibility
Job Responsibility
  • Develop software algorithms to structure, analyze and leverage structured and unstructured data
  • Use machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy
  • Apply, optimize, and scale deep learning technologies and algorithms
  • Document procedures for installation and maintenance
  • Perform testing and debugging
  • Define and monitor performance metrics
  • Translate customer requirements and industry trends into AI/ML products and systems improvements
  • Develop and drive the organization’s AI and machine learning strategy
  • Identify new opportunities for AI and machine learning applications
  • Oversee complex AI and machine learning projects from conception to deployment
What we offer
What we offer
  • Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing
  • Personal and professional development programs
  • Career growth opportunities
  • Inclusive work environment.
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

Senior Data Engineer role at UpGuard supporting analytics teams to extract insig...
Location
Location
Australia , Sydney; Melbourne; Brisbane; Hobart
Salary
Salary:
Not provided
https://www.upguard.com Logo
UpGuard
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience with data sourcing, storage and modelling to effectively deliver business value right through to BI platform
  • AI first mindset and experience scaling an Analytics and BI function at another SaaS business
  • Experience with Looker (Explores, Looks, Dashboards, Developer interface, dimensions and measures, models, raw SQL queries)
  • Experience with CloudSQL (PostgreSQL) and BigQuery (complex queries, indices, materialised views, clustering, partitioning)
  • Experience with Containers, Docker and Kubernetes (GKE)
  • Familiarity with n8n for automation
  • Experience with programming languages (Go for ETL workers)
  • Comfortable interfacing with various APIs (REST+JSON or MCP Server)
  • Experience with version control via GitHub and GitHub Flow
  • Security-first mindset
Job Responsibility
Job Responsibility
  • Design, build, and maintain reliable data pipelines to consolidate information from various internal systems and third-party sources
  • Develop and manage comprehensive semantic layer using technologies like LookML, dbt or SQLMesh
  • Implement and enforce data quality checks, validation rules, and governance processes
  • Ensure AI agents have access to necessary structured and unstructured data
  • Create clear, self-maintaining documentation for data models, pipelines, and semantic layer
What we offer
What we offer
  • Great Place to Work certified company
  • Equal Employment Opportunity and Affirmative Action employer
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

We are looking for a highly skilled Senior Data Engineer to join our team on a l...
Location
Location
United States , Dallas
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related discipline
  • At least 7 years of experience in data engineering
  • Strong background in designing and managing data pipelines
  • Proficiency in tools such as Apache Kafka, Airflow, NiFi, Databricks, Spark, Hadoop, Flink, and Amazon S3
  • Expertise in programming languages like Python, Scala, or Java for data processing and automation
  • Strong knowledge of both relational and NoSQL databases
  • Experience with Kubernetes-based data engineering and hybrid cloud environments
  • Familiarity with data modeling principles, governance frameworks, and quality assurance processes
  • Excellent problem-solving, analytical, and communication skills
Job Responsibility
Job Responsibility
  • Design and implement robust data pipelines and architectures to support data-driven decision-making
  • Develop and maintain scalable data pipelines using tools like Apache Airflow, NiFi, and Databricks
  • Implement and manage real-time data streaming solutions utilizing Apache Kafka and Flink
  • Optimize and oversee data storage systems with technologies such as Hadoop and Amazon S3
  • Establish and enforce data governance, quality, and security protocols
  • Manage complex workflows and processes across hybrid and multi-cloud environments
  • Work with diverse data formats, including Parquet and Avro
  • Troubleshoot and fine-tune distributed data systems
  • Mentor and guide engineers at the beginning of their careers
What we offer
What we offer
  • Medical, vision, dental, and life and disability insurance
  • 401(k) plan
  • Free online training
  • Fulltime
Read More
Arrow Right

Senior Big Data Engineer

The Big Data Engineer is a senior level position responsible for establishing an...
Location
Location
Canada , Mississauga
Salary
Salary:
94300.00 - 141500.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ Years of Experience in Big Data Engineering (PySpark)
  • Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
  • Big Data Infrastructure: Develop and manage large-scale data processing systems using frameworks like Apache Spark, Hadoop, and Kafka
  • Proficiency in programming languages like Python, or Scala
  • Strong expertise in data processing frameworks such as Apache Spark, Hadoop
  • Expertise in Data Lakehouse technologies (Apache Iceberg, Apache Hudi, Trino)
  • Experience with cloud data platforms like AWS (Glue, EMR, Redshift), Azure (Synapse), or GCP (BigQuery)
  • Expertise in SQL and database technologies (e.g., Oracle, PostgreSQL, etc.)
  • Experience with data orchestration tools like Apache Airflow or Prefect
  • Familiarity with containerization (Docker, Kubernetes) is a plus
Job Responsibility
Job Responsibility
  • Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
  • Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
  • Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
  • Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
  • Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
  • Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
  • Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
  • Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets
  • Fulltime
Read More
Arrow Right