Sr. Data Engineer; NO H1B OR C2C - Major Entertainment
Listed on 2026-01-12
-
IT/Tech
Data Engineer, Data Analyst, Data Science Manager, Data Warehousing
Senior Data Engineer – Tech Link Resources, Inc
We’re looking for a Senior Data Engineer to join the company's Commerce Data Pipelines team, which builds and maintains high-quality data products that power subscriber insights and revenue-driving decisions. In this role, you’ll partner closely with business, analytics, and infrastructure teams to design, build, and scale data pipelines that measure subscriber behavior and key performance metrics. You’ll work across disciplines to identify data sources, design table structures, define ETL strategies, and implement automated data quality checks.
TechLink Resources, Inc provided pay range
This range is provided by Tech Link Resources, Inc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$75.00/hr - $85.00/hr
What You’ll Do- Collaborate with technical and non‑technical partners to understand data and reporting needs
- Work with engineering teams to gather data from internal and external systems
- Design table structures and build reliable, scalable ETL pipelines in a fast‑growing data ecosystem
- Develop automated data quality checks to ensure accuracy and trust in data products
- Build and maintain ETL routines using tools such as Airflow
- Support database deployments using tools like Schema Change
- Perform SQL and ETL performance tuning
- Conduct ad hoc analysis as needed
- 3+ years of data engineering experience
- Strong understanding of data modeling (dimensional modeling, normalization, etc.)
- Advanced SQL skills, including performance tuning
- Strong analytical thinking and the ability to interpret business and consumer data
- Excellent communication skills, both written and verbal
- Comfortable working in a fast‑paced, collaborative environment
- Familiarity with Agile/Scrum practices
- Experience implementing/reporting on KPIs within data warehousing environments
- Experience with analytic SQL and relational or distributed systems (Snowflake, Redshift)
- 1+ years of experience with programming languages such as Python or Py Spark
- 1+ years of experience with orchestration/ETL tools (Airflow, NiFi)
- Experience with Snowflake, Databricks/EMR/Spark, or Airflow
Mid‑Senior level
Employment typeFull‑time
Job functionEngineering and Information Technology
IndustriesIT Services and IT Consulting, Software Development, and Entertainment Providers
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).