getSummary
Written in English from the original postingThis is a long-term contract, hybrid AWS and Databricks data engineering role in Houston, TX. The position involves designing, implementing, and optimizing large-scale data processing systems using Databricks, Apache Spark, Airflow, SQL, Python/PySpark, AWS Redshift, and RDS. It requires 7+ years of data engineering experience and at least 3+ years hands-on experience with Databricks and Apache Spark.
Job description
Job Description
We are seeking an experienced and highly skilled Databricks Developer to join our data engineering team. The ideal candidate will design, implement, and optimize large-scale data processing systems on Databricks, ensuring efficient data flow and seamless integration across platforms. You will work cross-functionally with other data professionals and business stakeholders to drive our data strategy and execution.
Years of Experience Required
Minimum 7+ years in data engineering or related field
At least 3+ years hands-on experience with Databricks and Apache Spark
Location: Houston, TX (Hybrid)
Duration: Long Term Contract
Compensation: $39/hr on 1099
Technical Skills
SQL (advanced)
Python / PySpark (proficient)
Strong background in ETL, data warehousing, and big data technologies
AWS Cloud experience, including Redshift and RDS
Databricks Lake experience
Experience using Apache Airflow for orchestration
Strong knowledge of data engineering best practices
Leadership & Collaboration
Proven ability to lead development teams
Strong mentorship and project management skills
Ability to collaborate cross-functionally with business and technical teams