Data Engineer IV

Description
What We Do/Project

As part of the Studio Economics transformation we are evolving how finance business and technology collaborate shifting to lean-agile user-centric small product-oriented delivery teams PODs that deliver integrated intelligent scalable solutions and bring together engineers product owners designers data architects and domain experts.

Each pod is empowered to own outcomes end-to-end-refining requirements building solutions testing and delivering in iterative increments. We emphasize collaboration over handoffs working software over documentation alone and shared accountability for delivery. Engineers contribute not only code but also to design reviews backlog refinement and retrospectives ensuring decisions are transparent and scalable across pods. We prioritize reusability automation and continuous improvement balancing rapid delivery with long-term maintainability.

The Sr Data Engineer plays a hands-on role within the Platform Pod ensuring data pipelines integrations and services are performant reliable and reusable. This role partners closely with Data Architects Cloud Architects and application pods to deliver governed AI/ML-ready data products.

Job Responsibilities / Typical Day in the Role

Design Build Scalable Data Pipelines
- Lead development of batch and streaming pipelines using AWS-native tools Glue Lambda Step Functions Kinesis and modern orchestration frameworks.
- Implement best practices for monitoring resilience and cost optimization in high-scale pipelines.
- Collaborate with architects to translate canonical and semantic data models into physical implementations.
Enable Analytics AI/ML Workflows
- Build pipelines that deliver clean well-structured data to analysts BI tools and ML pipelines.
- Work with data scientists to enable feature engineering and deployment of ML models into production environments.
Ensure Data Quality Governance
- Embed validation lineage and anomaly detection into pipelines.
- Contribute to the enterprise data catalog and enforce schema alignment across pods.
- Partner with governance teams to implement role-based access tagging and metadata standards.
Mentor Collaborate Across Pods
- Guide junior data engineers sharing best practices in pipeline design and coding standards.
- Participate in pod ceremonies backlog refinement sprint reviews and program-level architecture syncs.
- Promote reusable services and reduce fragmentation by advocating platform-first approaches.

Technology Requirements:
1 Strong skills in SQL Python PySpark and scripting for data transformations.
2 hands-on expertise in AWS services Glue Kinesis Lambda RDS DynamoDB S3 and orchestration tools Airflow Step Functions.
3 Experience working with modern data platforms Snowflake Databricks Redshift Informatica.
4 Proven ability to optimize pipelines for both batch and streaming use cases.
Skills
aws, lambda, airflow, sql, python
Top Skills Details
aws,lambda,airflow,sql,python
Additional Skills & Qualifications
Soft Skills:
1 Strong collaboration and mentoring skills ability to influence across pods and domains.
2 Knowledge of data governance practices including lineage validation and cataloging.
Experience Level
Expert Level
Job Type & Location
This is a Contract position based out of Burbank, CA.
Pay and Benefits
The pay range for this position is $85.00 - $87.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a hybrid position in Burbank,CA.
Application Deadline
This position is anticipated to close on Jan 29, 2026.
>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.