Job Title: Data Engineer
Location: Austin, TX
Duration: 2 Years
W2 Contract
Skill Sets: Experience with SQL, ETL, data Modeling, with Python.
Solid experience in querying non-relational databases using SQL or Python
Job Description:
We are seeking a skilled and detail-oriented Data Professional with solid experience in SQL, ETL development, data modeling, and Python programming. The ideal candidate will be responsible for building and maintaining scalable data pipelines, designing efficient data models, and ensuring data quality and consistency across systems. Additionally, strong experience with querying non-relational (NoSQL) databases using SQL or Python is essential for this role.
Key Responsibilities:
- Design, develop, and maintain robust ETL pipelines to support data ingestion, transformation, and loading processes.
- Write efficient and optimized SQL queries for data extraction, analysis, and reporting across structured and semi-structured data.
- Develop data models (conceptual, logical, physical) to support analytical and business needs.
- Work with Python to automate data workflows and perform data manipulation and processing tasks.
- Query and interact with non-relational databases such as MongoDB, Cassandra, or DynamoDB using SQL or Python-based tools.
- Collaborate with cross-functional teams to gather requirements, troubleshoot issues, and implement data solutions.
- Ensure data integrity, consistency, and security across systems and pipelines.
Qualifications:
- Bachelor's degree in computer science, Information Systems, or a related field.
- 5+ years of experience in SQL development, ETL processes, and data Modeling.
- Proficiency in Python for data engineering and scripting tasks.
- Experience working with NoSQL databases and familiarity with their query mechanisms.
- Strong analytical and problem-solving skills with a detail-oriented mindset.
- Experience with cloud platforms and modern data stack tools (optional but preferred).