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C2C Sr. Data Engineer in TX
Job in
Austin, Travis County, Texas, 78716, USA
Listed on 2026-06-24
Listing for:
Tech Mirrors
Part Time
position Listed on 2026-06-24
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing
Job Description & How to Apply Below
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
- Top 3 required skills:
Spark, Scala, SQL - Years of experience in each required skill: 7+ years
- Certifications required:
None
- 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)
- 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.
- 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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