Data Engineer, Flywheel Digital
Simplified digital commerce solutions
Open for applications
Simplified digital commerce solutions
1001+ employees
Open for applications
1001+ employees
Company mission
To redefine a future where all businesses can seamlessly navigate the rapid change of digital commerce and drive growth.
Role
Who you are
- 4+ years of professional data engineering experience delivering production-grade pipelines and data platforms
- Strong problem-solving and analytical skills; track record of decomposing complex problems and shipping pragmatic solutions
- Excellent communication and documentation; teacher/mentor who raises the bar for the team
- Proficiency in Python and SQL; experience with Java or Scala a plus
- Solid software engineering practices: Git/GitHub, branching, code review, testing (Pytest/JUnit), and CI/CD
- Hands-on experience operating Apache Iceberg on AWS (S3 + Glue); deep familiarity with Parquet/ORC
- Operating Iceberg with Spark (PySpark/Spark SQL); exposure to Snowflake Iceberg Tables and/or Trino/Presto is a plus
- Practical knowledge of Iceberg concepts: metadata/manifest layers, partition transforms, schema evolution, snapshots/time-travel/branching, row-level deletes/merges, compaction, and vacuum/snapshot expiration
- AWS expertise: S3, Lambda, EventBridge, Glue, Athena, EMR, Kinesis, Step Functions, SQS; cost/performance governance across services
- Snowflake proficiency; experience exposing Iceberg data via Snowflake external or Iceberg tables; Redshift/BigQuery a plus
- Strong SQL performance tuning across at least one engine (Snowflake, PostgreSQL/RDS, MySQL)
- Observability with Datadog and/or CloudWatch; strong log analysis, performance profiling, and incident response
- Practical use of AI coding assistants (GitHub Copilot, Amazon Q Developer, ChatGPT, Claude) (nice to have
What the job involves
- We’re seeking a Senior Data Engineer who is equal parts builder, teacher, and problem solver.
- You will architect and deliver modern, cloud-first data platforms; mentor teammates; and drive standards that improve reliability, performance, and developer experience.
- You’ll work across batch and streaming patterns, structured and semi-structured data, and collaborate closely with analysts, product, and engineering teams to turn requirements into scalable, maintainable solutions
- Design and evolve our data architecture leveraging Apache Iceberg on S3 and Snowflake, balancing performance, reliability, and cost
- Lead continuous improvement of schemas, data models, pipelines, and engineering standards, own design docs and review forums
- Plan and coordinate data migrations with zero/low downtime patterns, including backfills, cutovers, and data validation
- Standardize data contracts and enforce quality checks throughout pipelines and transformations
- Implement and operate Iceberg tables: catalog strategy (AWS Glue), partition transforms, schema evolution, and time-travel/snapshot management
- Optimize data layout (partitioning, clustering, file sizing, compaction) to improve read/write performance and control costs across engines
- Build and maintain batch and streaming pipelines using Airflow, AWS Glue, Step Functions, Lambda, Kinesis, and Snowflake
- Design normalized and dimensional models; apply partitioning and clustering strategies appropriate to Iceberg and target engines
- Own SQL and Spark performance tuning, job optimization, and cost governance (e.g., Snowflake warehouse sizing, query profile analysis)
- Establish SLAs, lineage, tests, alerts, and runtime metrics; integrate data quality checks into CI/CD and orchestration
- Mentor and pair program; elevate craftsmanship, testing, reliability, and operational excellence
- Promote security best practices, governance, and compliance-by-default patterns for sensitive data
- Provide documentation, code examples, and training that enable partners to self-serve; champion code reviews and design best practices
Application process
- Every role starts the same, an introductory call with someone from our Talent Acquisition team. We will be looking for company and values-fit as well as your professional experience; there may be some technical role-specific questions during this call
- Every role is different after the initial call, but you can expect to meet several people from the team 1:1 and there might be further skill assessments in the form of a Take Home Assignment/Case Study Presentation or Pair Programming/Live Coding exercise depending on the role. In your initial call, we will walk you through exactly what to expect the process to be
Our take
Flywheel is a digital commerce solution company that provides tools for retail commerce ops, media execution and market intelligence. Its real-time insights and decision making is aimed at boosting eCommerce sales, helping companies grow faster, smarter and more efficiently.
Founded in 2014, Flywheel amalgamated a number of digital commerce tools into a proprietary cloud platform that manages tens of billions in product sales and billions in advertising spend every year. It serves over 4500 brands internationally, a sure sign that it has solidified a presence in the space.
In 2023, New York-based Omnicom Group acquired Flywheel for $835 million. The company will continue to operate under its own name, but now as a "Practice Area" within Omnicom. Flywheel’s products will be connected to Omnicom’s audience and behavioural data, elevating both companies' analytics and insights power.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Comprehensive medical coverage
- Paid vacation and holidays
- Country-specific savings and benefits plans
Company HQ
Locust Point, Baltimore, MD
Leadership
Patrick G Miller
(Co-Founder)Previously Co-President at Ascential, Vice President at Compass Marketing, Director of Community at Chesapeake Bay Foundation and an Operations Director at Petrie Ross Ventures.
Chip DiPaula
(Co-Founder)Previously Executive Vice President at Compass Marketing, COO at Petrie Ross Ventures and Chief of Staff for Governor Robert L. Ehrlich, Jr of Maryland.
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