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C2C Sr. Data Engineer in TX

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Tech Mirrors
Part Time position
Listed on 2026-06-24
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Urgent C2C hiring for Sr. Data Engineer in TX

Position:
Sr. Data Engineer

Location:

Austin, TX 78753

Interview:
In‑person interview not required;
Skype/Web Ex interview accepted; remote work not an option. Requires onsite presence 3 days per week.

Chance for permanent placement:
Yes

Performance Expectations
  • Top 3 required skills:
    Spark, Scala, SQL
  • Years of experience in each required skill: 7+ years
  • Certifications required:
    None
Technical Hiring Criteria (Must Haves)
  • Apache Spark
  • SQL
  • git
  • Programming languages:
    Python, Java, Scala
  • Understanding of design patterns (nice to have)
  • Ability to discuss tradeoffs between RDBMS and distributed storage (nice to have)
Responsibilities
  • Craft and build a comprehensive tiered data architecture that enables seamless data integration and delivers high‑quality insights to leadership and business stakeholders.
  • Design and implement a tiered data architecture that integrates analytics data from multiple sources efficiently.
  • Develop data models and mapping rules to transform raw data into actionable insights and reports.
  • Collaborate with analytics and business teams to understand requirements and deliver solutions that meet their needs.
  • Ensure data quality and accuracy by developing data validation and reconciliation processes.
  • Develop and maintain user documentation, including data models, mapping rules, and data dictionaries.
  • Collaborate with cross‑functional teams to define and implement data governance policies and standards.
  • Stay informed about the latest developments in data analytics and data management technologies, and recommend new tools and methodologies to improve the semantic layer.
Qualifications
  • Proven experience in data engineering, data architecture, or a related field.
  • Experience building and deploying tiered data architecture for analytics data (a plus).
  • Strong understanding of data modeling, data warehousing, and ETL concepts.
  • Proficiency in SQL and experience with a major analytics platform such as Hadoop or Spark.
  • Experience with data orchestration tools like Airflow (nice to have).
  • Excellent problem‑solving and analytical skills with the ability to work well under tight deadlines.
  • Excellent interpersonal skills and ability to collaborate effectively with cross‑functional teams.
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