Description
Remote
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and SaaS solutions. You will partner with machine learning engineers, software engineers, data scientists, and analysts to deliver data products for clients and to support internal data practices.
This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis.
Salary: $150,000 - $154,000/ yr. w2
JN -112026-109290
Responsibilities
Design, develop, and maintain data pipelines, infrastructure, and systems using AWS, Python, Databricks, Spark, and PostgreSQL.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
Provide technical guidance and mentorship to junior data engineers.
Develop and implement data engineering standards and best practices.
Monitor and troubleshoot data pipelines to ensure data quality, integrity, and availability.
Research industry trends and evaluate new data technologies.
Build and maintain data lakes to support analytics and business intelligence.
Manage the software development life cycle and DevOps activities.
Partner with data scientists and analysts to deliver effective data solutions.
Develop data validation and data analysis tools.
Show the full description
Experience Requirements
Five or more years of experience in data engineering or a related role.
Expert proficiency in Python, SQL, Databricks, and Spark.
Experience building cloud-based data pipelines in AWS.
Knowledge of data governance, security, privacy, and retention practices.
Strong communication, collaboration, and problem-solving skills.
Experience working in agile environments using tools such as Jira.
Proficiency with Git, Docker, and CI tools such as Jenkins.
Passion for data and continuous improvement.
Preferred: Ability to work independently and proactively.
Preferred: Experience optimizing ETL workflows in Databricks.
Preferred: Knowledge of data lineage and data quality practices.
Preferred: Experience supporting data science and machine learning solutions.
Preferred: Prior experience in the energy or utility industry.
Education Requirements
Bachelor’s degree in computer science, information technology, or a related field.
Preferred: Master’s degree in a relevant STEM field.
