Data Engineer I: AWS + Python Data Solutions

Jobtailor; Connecticut; On-site; USD 110,000 - 160,000; Full time

Job summary

Jobtailor in Connecticut seeks a seasoned Data Engineer to build and operationalize complex data solutions, architect data products, and ensure governance and quality across environments.

You will design data solutions, analyze sources for value, and collaborate with cross-functional teams to educate users on data products and analytic environments. Strong communication and leadership are required.

Qualifications

• Bachelor’s degree in a STEM field or equivalent.
• Six years of related experience.
• 3+ years in a data engineer role with IT/engineering background.
• 2+ years hands-on ETL with Python or PySpark.
• Experience with cloud platforms (AWS preferred).
• Experience developing generative AI apps and LLMs.
• Strong problem-solving and communication skills.
• Leadership – intermediate with self-motivation.
• Must have: 2 additional years software/data engineering.

Responsibilities

• Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
• Design data solutions.
• Analyze sources to determine value and recommend data to include in analytical processes.
• Incorporate core data management competencies including data governance, data security and data quality.
• Collaborate within and across teams to support delivery and educate end users on data products/analytic environment.
• Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
• Test data movement, transformation code, and data components.
• Perform other duties as assigned.

Skills

ETL with Python

PySpark

Cloud platforms

Data governance

Data quality

SQL

Leadership

Education

Bachelor’s degree in CS or STEM

Tools

Python

Apache Spark

Job description

Jobtailor in Connecticut seeks a seasoned Data Engineer to build and operationalize complex data solutions, architect data products, and ensure governance and quality across environments.

You will design data solutions, analyze sources for value, and collaborate with cross-functional teams to educate users on data products and analytic environments. Strong communication and leadership are required.