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Sr. Data Engineer

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Anblicks
Full Time position
Listed on 2026-01-16
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 130000 - 160000 USD Yearly USD 130000.00 160000.00 YEAR
Job Description & How to Apply Below

Join to apply for the Sr. Data Engineer role at Anblicks

Current salary range:
Dallas, TX $130,000–$160,000;
Irving, TX $130,000–$,000;
Arlington, TX $130,000–$160,000.

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related quantitative field.
  • 12+ years of progressive experience in data engineering, including 3–5+ years in a technical lead or senior engineering role.
  • Extensive hands‑on experience with Snowflake and ETL tools (Snap Logic) in large‑scale, production‑grade environments, including architecture design and optimization.
  • Expert‑level proficiency in SQL, including complex query design, performance tuning, cost optimization, and query profiling.
  • Deep expertise in data warehousing and modeling concepts, including dimensional modeling, CDC (Change Data Capture), SCD Types, and data vault‑style patterns.
  • Proven experience leading the design, development, and deployment of scalable, cloud‑native data pipelines (ETL/ELT) supporting enterprise analytics and reporting.
  • Demonstrated ability to define data engineering standards, best practices, and reusable frameworks across teams.
  • Strong knowledge of data governance, security, privacy, and compliance, including role‑based access, data classification, and auditability.
  • Proven experience mentoring junior engineers, conducting code/design reviews, and guiding teams toward scalable and maintainable solutions.
  • Excellent problem‑solving and analytical skills, with the ability to make architectural decisions under ambiguity.
  • Strong communication and stakeholder management skills, with the ability to translate business requirements into technical solutions.
  • Ability to own end‑to‑end data initiatives, work independently, and lead teams effectively in a fast‑paced, Agile environment.
Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

IT Services and IT Consulting

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