Data Engineer II

Jobtailor; Poquonock Bridge (CT); On-site; USD 110,000 - 170,000; Full time

Job summary

Jobtailor is seeking a Senior Data Engineer in Connecticut to design and operationalize complex data solutions, build robust pipelines, and deliver high-quality data at scale. The role requires strong collaboration with cross-functional teams and a hands-on approach to improving data products.

The ideal candidate will apply data governance, security, and quality controls while driving automation and continuous improvement across the analytics environment.

Qualifications

• Bachelor's degree in a STEM field or equivalent experience.
• Eight years of related experience in Data Engineering.
• Experience building robust data pipelines and handling large-scale datasets.
• Proficiency with cloud platforms and modern software engineering practices.
• Strong problem-solving mindset with focus on continuous improvement.

Responsibilities

• Build and operationalize complex data solutions and data cleansing/quality improvements.
• Design data solutions and analyze complex sources for analytical value.
• Collaborate across teams to support delivery and educate end users.
• Test data movement, transformation code, and data components.
• Perform data and system analysis to resolve defects and incidents.
• Lead teams and foster a learning environment for engineers.

Skills

Data engineering

Data pipelines

Automation

Optimization

Data governance

Data security

Data quality

Problem solving

Team collaboration

Leadership

Education

Bachelor’s Degree in STEM

Tools

AWS

Databricks

Gen AI

ETL Tools

Terraform

Job description

Responsibilities

• Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
• Design complex data solutions.
• Perform analysis of complex sources to determine value and use 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 complex data products/analytic environment.
• Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate.
• Test data movement, transformation code, and data components.
• Perform other duties as assigned.

Requirements

• Bachelor’s Degree in STEM related field or equivalent.
• Eight years of related experience in Data Engineering.
• Experience with building robust data pipelines and working with large-scale datasets.
• Proficiency in tools like AWS, Databricks, Gen AI, ETL Tools, Terraform etc.
• Passion for automation, optimization and delivering high-quality data solutions.
• A problem-solving mindset with a focus on continuous improvement.
• Incorporate core data management competencies including data governance, data security and data quality.
• Highly proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and a full understanding of modern software engineering practices.
• The ability to deliver work at a steady, predictable pace to achieve commitments, deliver complete solutions but release them in small batches, and identify and negotiate important tradeoffs.
• Demonstrated track record of domain expertise including understanding technical concepts necessary and industry trends, and possess in-depth knowledge of immediate systems worked on and some knowledge of adjacent systems.
• Strong problem solver who ensures systems are built with longevity and creates innovate ways to resolve issues.
• Strong written and verbal communication skills with the ability to work collaborate well with team members and business partners.
• Ability to lead team members and help create a safe environment for others to learn and grow as engineers.
• A proven track record of self-motivation in identifying opportunities and tracking team efforts.