Lead Data Engineer

Description:
Hybrid At least 2 days per week in office in Chicago, IL

Our client seeks a Lead Data Engineer to design, build, and optimize large-scale data processing for attribution, measurement, forecasting, and privacy-preserving analytics. The role requires leadership of a major workstream, strong Scala, Spark, SQL, and Python skills, and cloud data platform expertise. The engineer will partner across Product, Data Science, Security, Privacy, and Platform Engineering to deliver secure, scalable, and compliant data solutions.

For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $75.00 to $85.00/hr. w2

Responsibilities:

• Lead design, implementation, and optimization of large-scale data processing using Scala, Spark, SQL, and modern data platforms for attribution.
• Design and operate trusted data pipelines handling advertiser, customer, and measurement datasets across AWS, Google Cloud Platform, Azure, and approved ecosystems.
• Collaborate with Product, Data Science, Security, Privacy, and Platform Engineering to deliver privacy-preserving attribution, measurement, forecasting, and analytics.
• Own scalable batch and streaming workflows using orchestration frameworks and cloud-native services.
• Implement data classification, access controls, and privacy-preserving techniques aligned with security and compliance requirements.
• Drive clean-room and trusted data-sharing environments, exposing only aggregated or privacy-protected outputs.
• Build observability, monitoring, alerting, and operational tooling for reliability, performance, and compliance.
• Troubleshoot complex platform, performance, and pipeline issues across distributed systems.
• Influence technical design, architecture, and best practices in partnership with senior engineering leadership.
• Mentor engineers, lead design and code reviews, and provide technical leadership.
• Ensure all sensitive processing occurs within controlled, auditable boundaries with no unintended egress of PII or proprietary signals.
• Define data handling standards and document trust boundaries, data contracts, lineage, and permitted movement between zones.
• Apply privacy-preserving computation, including aggregation-before-export, pseudonymization, tokenization, differential privacy concepts, and privacy-aware reporting.
• Implement encryption, key management, and secure handling using cloud-native security and governance services.
• Support audits, compliance, governance reviews, and secure data-sharing initiatives.

Experience Requirements:

• 8+ years in Data Engineering with strong Scala and extensive Apache Spark on AWS and/or Google Cloud Platform.
• Strong Python for pipelines, tooling, automation, and infrastructure modules.
• Advanced SQL across relational, cloud warehouses, and lakehouse platforms handling TB-scale datasets.
• Design, build, and maintenance of batch and streaming pipelines.
• Data warehousing, dimensional modeling, data quality, partitioning, and performance optimization.
• Distributed data processing and lakehouse architectures such as Databricks, Delta Lake, or Apache Spark.
• Operating distributed data platforms at scale with orchestration tools like Airflow, Databricks Workflows, or AWS Step Functions.
• Git-based workflows and automated testing frameworks.
• Cloud-native development on AWS and/or Google Cloud Platform with CI/CD, code reviews, observability, and production support.
• Proven technical leadership, mentorship, and delivery within tight timelines.
• Trusted environment execution: clean rooms or secure data-sharing platforms, handling PII and regulated data, fine-grained access controls, governance policies, and policy enforcement.
• Familiarity with tokenization, pseudonymization, aggregation-before-export, and differential privacy concepts.
• Experience with measurement, attribution, audience analytics, or privacy-preserving reporting solutions.
• Data lineage and governance tooling such as Unity Catalog, AWS Glue Data Catalog, Apache Atlas, or OpenLineage.
• Understanding of trust boundaries, secure data-sharing patterns, and zero-trust data architecture.
• Experience documenting data contracts, flows, lineage, and permitted data movement between zones and domains.
• Encryption, key management, and secure handling of sensitive data with cloud-native security services.
• Design of observability and alerting to detect anomalous movement, policy violations, and potential leakage.
• Experience in environments where only aggregated, anonymized, tokenized, or privacy-protected outputs may leave trusted boundaries.
• Strong written and verbal English communication and experience in Agile/SCRUM.
• Good to have: Databricks, AWS Clean Rooms or PETs, advertising and retail media platforms, collaboration with Security/Privacy/Risk/Compliance, ELK/Grafana/OpenTelemetry, Docker/Kubernetes, and secure design reviews.

Recruitment Transparency Notice



Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
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About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

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