Lead Data Engineer (AWS | Snowflake | Python | ETL) @ Columbus, OH (ONSITE INTERVIEW) || W2 Only

HYR Global Source
Columbus, OH, United States
about 1 month ago
Apply on www.careerjet.com
Prepare application

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours

Tech stack

Agile Methodology Amazon Web Services Amazon S3 Big Data Databases Continuous Integration Data Architecture Information Engineering Data Governance Data Infrastructure Data Integration Extract Transform Load (ETL)
+12 more
Data Systems Database Testing DevOps Python (Programming Language) Meta-Data Management Standard Sql Snowflake Git Information Technology Deployment Automation AWS Data Analytics Data Pipelines

Job description

We are seeking an experienced Lead Data Engineer to design, build, and optimize scalable data pipelines for enterprise analytics. This role requires strong expertise in AWS, Snowflake, Python, ETL, and Big Data technologies. The ideal candidate will also provide technical leadership, mentor team members, and collaborate with business and data teams to deliver high-quality data solutions.

Requirements

Work Authorization: U.S. Citizens and Green Card Holders preferred, all valid work authorizations may apply Education Requirement - Bachelor’s Degree in: Computer Science, Information Technology, Or related field, Required Skills * 7+ years of Data Engineering experience

  • Strong hands-on experience with Python and ETL development
  • Expertise in AWS data services (Glue, Lambda, Athena, S3, etc.)
  • Experience with Snowflake and Big Data technologies
  • Strong SQL and database programming skills
  • Experience building and optimizing large-scale data pipelines
  • Data modeling, data integration, and data quality experience
  • Hands-on data testing and validation
  • Experience with DevOps practices (Git, CI/CD, automated deployments)
  • Agile development experience

Ideal Candidate

  • Proven experience leading Data Engineering projects or mentoring teams
  • Strong understanding of enterprise data architecture and modern data platforms
  • Ability to work with cross-functional teams including Data Scientists, Analysts, and Business Stakeholders
  • Excellent communication and problem-solving skills
  • Experience working with large, complex datasets
  • Financial Services domain experience is a strong plus, * Bachelor’s degree in Computer Science or a related field (Master’s preferred)
  • Experience with BI and analytics tools
  • Knowledge of data governance and metadata management
  • Willingness to learn new technologies and lead technical initiatives

About the company

Onsetto, Inc

  • Columbus, OH Who We Are At Onsetto, we’re building more than technology, we’re building the future of business banking. Trusted by financial institutions across the country, Onsetto is help…

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

Videos

See all

Related articles

See all