Data Engineer

Our client seeks a Senior Data Engineer to design, build, and operate large-scale data processing for attribution, measurement, forecasting, and privacy-preserving analytics. You will develop Scala and Spark solutions on cloud platforms, implement governance and privacy controls, and partner with cross-functional teams to deliver secure, reliable data products.

We can facilitate w2 and corp-to-corp consultants. 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: $70.00 to $80.00/hr. w2, * Develop and optimize large-scale data processing solutions using Scala, Spark, and SQL on modern data platforms.

• Build and operate trusted data pipelines across secure cloud environments such as AWS, GCP, or Azure.
• Partner with Product, Data Science, Security, Privacy, and Platform Engineering to deliver privacy-preserving features.
• Build, schedule, and maintain scalable batch and streaming data workflows with orchestration frameworks.
• Implement data classification, access controls, and privacy-preserving techniques aligned to compliance requirements.
• Contribute to clean-room and trusted data-sharing environments with approved aggregated outputs.
• Create observability, monitoring, and operational tooling for reliability and compliance.
• Troubleshoot complex performance and pipeline issues across distributed systems.
• Contribute to technical design, best practices, and operational excellence.
• Mentor junior engineers and perform thorough code reviews.
• Continuously improve attribution, measurement, forecasting, and privacy-preserving analytics capabilities.
• Operate pipelines within trusted environments, clean rooms, or secure data-sharing platforms across cloud and on-premises.
• Apply access controls, data classification, lineage, and governance for PII, PCI, and confidential signals.
• Follow data handling standards with Security, Privacy, and Compliance teams to keep sensitive data within trust boundaries.
• Enforce aggregation, anonymization, tokenization, and approved outputs for data leaving trusted environments.
• Build monitoring and alerting to detect anomalous data movement and policy violations.
• Apply privacy-preserving computation when outputs cross trust boundaries, including aggregation-before-export, pseudonymization, tokenization, differential privacy concepts, and privacy-aware reporting.
• Implement encryption, key management, and secure handling with cloud-native security services.
• Document trust boundaries, data contracts, lineage, and permitted data movement.
• Support audits, compliance requirements, governance reviews, and secure data-sharing initiatives.
• Participate in architecture and design reviews to embed governance, privacy, lineage, and trust-boundary requirements.
• Contribute to engineering standards for secure data processing and trusted platform operations.

• 5+ years of data engineering with strong Scala and Apache Spark on AWS and/or GCP.
• Strong Python for pipelines, tooling, automation, and infrastructure modules.
• Advanced SQL across RDBMS, cloud data warehouses, and lakehouse platforms with TB-scale datasets.
• Designing and maintaining batch and streaming data pipelines.
• Data warehousing, dimensional modeling, data quality, partitioning, and performance optimization.
• Distributed processing and modern lakehouse architectures such as Databricks, Delta Lake, or Apache Spark.
• Operating distributed data platforms at scale.
• Workflow orchestration with Airflow, Databricks Workflows, AWS Step Functions, or equivalent.
• Source control with Git and test automation frameworks.
• Cloud-native development on AWS and/or GCP.
• Software engineering practices including CI/CD, code reviews, observability, and production support.
• Ownership of features and pipelines with cross-team collaboration and mentoring.
• Trusted environment execution with clean rooms or secure data-sharing platforms handling PII and regulated data.
• Fine-grained access controls, governance policies, and policy-based enforcement for sensitive datasets.
• Privacy-preserving techniques such as tokenization, pseudonymization, aggregation-before-export, and differential privacy concepts.
• Experience with clean-room, measurement, attribution, audience analytics, or privacy-preserving reporting solutions.
• Understanding of trust boundaries, secure data-sharing patterns, and zero-trust principles.
• Encryption, key management, and secure handling of sensitive data with cloud-native services.
• Observability and alerting to detect anomalous data movement and potential leakage events.
• Strong understanding of cloud-native security and governance.
• Good to have: Databricks, AWS Clean Rooms, advertising measurement platforms, collaboration with Security/Privacy/Risk/Compliance, ELK/Grafana/OpenTelemetry, Docker and Kubernetes, lineage and governance tooling, and documenting data contracts and flows.
• Strong written and verbal English communication skills.
• Experience with Agile or SCRUM in cross-functional product teams.

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.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following

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