Data Engineer I

TalentBurst, Inc.

Corning, NY

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JOB DETAILS

SKILLS

Agile Programming Methodologies, Apache, Application Programming Interface (API), Automation, Best Practices, Communication Skills, Computer Science, Cross-Functional, Data Analysis, Data Management, Data Migration, Data Modeling, Data Processing, Data Quality, Data Recovery, Data Sets, Database Design, Database Extract Transform and Load (ETL), Database Technology, Detail Oriented, Documentation, Emerging Technology, Environmental Sciences, Identify Issues, Information Technology & Information Systems, Machine Tool, Material Science, On Call, Operational Audit, Operational Support, Operations Processes, Oracle Database, Performance Tuning/Optimization, PostgreSQL, Process Improvement, Production Support, Production Systems, Python Programming/Scripting Language, Quality Assurance Methodology, Relational Databases (RDBMS), Root Cause Analysis, SQL (Structured Query Language), Sales Pipeline, Science Software, Scientific Research, Scripting (Scripting Languages), Software Administration, Software Development, Source Code/Configuration Management (SCM), Sprint Planning, Standup Meetings, System Migration, Team Player, Technical Research, Use Cases, Writing Skills

LOCATION

Corning, NY

POSTED

21 days ago

Job Title: Software Engineer I - Data Engineer
Location: Corning, NY
Duration: 12 months

Job Description:
Manager is open to non-local candidates willing to relocate at own expense
Interview Process: Phone screen, then either onsite interview for local candidates or Teams Meeting for non-local candidates

Education and Experience:
*This position focuses on Data pipelines & workflows*
Bachelor s degree in computer science, information systems, data engineering, or related field, or equivalent practical experience. May consider an Associates if the candidate has an additional 3-5 years experience than what is being required.
2 years of professional experience in data engineering, ETL development, or related work, or equivalent hands-on experience.
Experience or interest in scientific software, materials science, research environments, or technically complex domains is a plus.

Travel: Limited to no travel required, and no on-call requirements.

Work Schedule: Typical 40 hours per week. May require working weekends/holidays or longer days to support projects.

Work Eligibility: Must be eligible to work in the US for a minimum of 18 months

SCOPE OF POSITION:
1. Embed within a cross-functional Agile team, participating in sprint planning, stand-ups, backlog refinement, and technical discussions.
2. Design, build, troubleshoot, and maintain ETL/ELT workflows that support application functionality, analytics, reporting, and scientific workflows.
3. Develop and manage data pipelines using Apache Airflow, ensuring reliable orchestration, scheduling, monitoring, and recovery of data processes.
4. Work with stakeholders including software developers, scientists, and engineers to understand data sources, workflow requirements, and downstream data needs.
5. Extract, transform, validate, and load data across systems, including relational databases such as Postgres SQL and Oracle.
6. Write, optimize, and maintain complex SQL queries, scripts, and transformation logic to support operational and analytical use cases.
7. Troubleshoot data quality issues, ETL failures, pipeline bottlenecks, and schema inconsistencies; identify root causes and implement durable solutions.
8. Support database exploration, data validation, and troubleshooting using tools such as DBeaver and related database utilities.
9. Evaluate and help adopt new data tools and technologies, including lightweight analytics and transformation solutions (e.g. DuckDB) where appropriate.
10. Collaborate with engineering teams to support reliable integration between data pipelines, applications, APIs, and downstream consumers.
11. Assist with schema evolution, data modeling, migration planning, and data consistency across systems.
12. Document pipeline logic, data dependencies, transformation rules, and operational procedures to support maintainability and team knowledge sharing.
13. Help improve data engineering standards, observability, testing practices, and operational reliability across the team.
14. Regularly interact with scientists and engineers to understand research and technical workflows; experience in scientific or research environments is a strong plus.

TECHNICAL SKILLS 2 years (or commensurate experience):
1. Experience designing, building, and troubleshooting ETL/ELT pipelines
2. Hands-on experience with workflow orchestration tools, preferably Apache Airflow
3. Strong experience writing and optimizing SQL
4. Experience working with relational databases, especially Postgres SQL and Oracle
5. Ability to develop and maintain data transformations, validation steps, and pipeline logic across multiple systems
6. Experience with database tools such as DBeaver or similar for query development, exploration, and troubleshooting
7. Familiarity with modern data processing and analytical tools such as DuckDB or interest in evaluating emerging data technologies
8. Understanding of data modeling, schema design, data integrity, and performance tuning
9. Experience troubleshooting pipeline failures, performance issues, and inconsistent or incomplete datasets
10. Familiarity with scripting or programming for pipeline development and automation; Python experience is strongly preferred
11. Understanding of version control and collaborative development workflows
12. Experience supporting production data systems with an emphasis on reliability, maintainability, and clear documentation

TEAM SKILLS:
1. Confident collaborating with developers, scientists, analysts, and product stakeholders
2. Able to gather and clarify technical and data requirements and translate them into scalable data solutions
3. Strong communication skills around pipeline status, data quality issues, dependencies, and tradeoffs
4. Comfortable handling ambiguity, improving incomplete processes, and helping define best practices
5. Proactive in identifying opportunities to improve data workflows, tooling, performance, and operational stability

SOFT SKILLS:
1. Strong analytical and problem-solving skills
2. High attention to detail and commitment to data quality, consistency, and reliability
3. Demonstrated initiative in troubleshooting issues and improving pipeline robustness
4. Curiosity and willingness to evaluate and adopt new tools, technologies, and approaches
5. Ability to balance immediate operational needs with long-term maintainability and scalability
6. Comfortable proposing improvements, collaborating across teams, and building trust through reliable execution

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Why TalentBurst?
At TalentBurst, we deliver more than talent, we deliver outcomes. We partner with you to move quickly and connect you to opportunities aligned with your skills and long term growth.

Backed by precision, transparency, and results, we connect top talent with leading organizations through trusted partnerships.

We offer competitive compensation and comprehensive benefits, including medical, dental, vision, and retirement options.

TalentBurst is an equal opportunity employer committed to an inclusive and diverse workforce.

About the Company

TalentBurst, Inc.

For over 20 years, TalentBurst Inc. has been an award-winning provider of cutting-edge Workforce Management Solutions. With a strong commitment to staying ahead in the tech landscape, we pioneer innovative approaches to talent acquisition. Our expertise spans Life Sciences, and Healthcare Staffing, Banking, Financial, IT, and Engineering, as well as Global Employer of Record (EOR), Agent of Record (AOR), State, Local Government and Education (SLED), and IC validation/compliance services. Additionally, our division, TalentProcure, leads the industry with offerings such as High Hazard Payroll, Managed Services, and Vendor on Premise (VOP) solutions.

Due to our prioritization of excellent standards, we are Joint Commission Certified and are a certified Minority Business Enterprise (MBE) in the USA and Canada. Supporting over 130 Fortune 500 companies globally, we excel in navigating the landscape of talent acquisition. In a world of constant change, we embrace developing people-centric solutions that address the unique demands of our clients. Stay connected by visiting our website and following us on social media!

COMPANY SIZE

5,000 to 9,999 employees

INDUSTRY

Staffing/Employment Agencies

FOUNDED

2002

WEBSITE

http://www.talentburst.com/

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