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Sr. Data Engineer; NO H1B OR C2C - Major Entertainment

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: TechLink Resources, Inc
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager, Data Warehousing
Salary/Wage Range or Industry Benchmark: 75 - 85 USD Hourly USD 75.00 85.00 HOUR
Job Description & How to Apply Below
Position: Sr. Data Engineer (NO H1B OR C2C) - Major Entertainment Company

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.

Tech

Link 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
Basic Qualifications
  • 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
Preferred Qualifications
  • 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
Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting, Software Development, and Entertainment Providers

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