Database Engineer: III (Senior)

Indotronix International Corporation

  • Ohio, OH
  • 7 days ago
  • Remote

    Highlights

    Skills Highest Priority Skills 1 API Integration Experience o Strong experience consuming and building integrations with APIs o Genesys API experience would be a major differentiator 2 Data Engineering / ETL Development o Ability to independently architect and build ingestion pipelines o Must require minimal ramp-up or handholding 3 AWS Experience o Experience working in AWS environments is preferred since Huntington's Data Lake resides in AWS 4 Python & SQL o Core development skills required o Ability to structure and model data for reporting consumption 5 Data Modeling Mindset o Important that candidates understand how data should be organized and structured for analytics/reporting use cases o Not simply a developer role; needs someone capable of creating usable downstream data assets Nice-to-Haves · Contact Center experience · Genesys platform experience · Banking or Financial Services exposure · Snowflake familiarity. In this high-impact, contract-to-hire role, you will architect and develop scalable data pipelines, seamlessly integrating API-sourced data into our AWS-based enterprise data lake and transforming it into robust, analytics-ready datasets.

    Numbers & Facts

    LocationOhio, OH (
    Remote
    )

    Description

    • Current Openings
    • Veterans Program
    • Working With Indotronix
    • Referral Program

    All current openings

    Database Engineer: III (Senior)

    • Location: Remote Ohio, Ohio 43215
    • Work model: On-site
    • Posted July 14, 2026
    • Job ID: JPC - 206350

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    Job Description

    Job Summary: Senior Data Integration & API Engineer (Database Engineer III)

    [About the Role]

    Join Huntington's dynamic Data Engineering team as a Senior Data Integration & API Engineer. In this high-impact, contract-to-hire role, you will architect and develop scalable data pipelines, seamlessly integrating API-sourced data into our AWS-based enterprise data lake and transforming it into robust, analytics-ready datasets. This is an opportunity to work cross-functionally at the intersection of integration architecture, data engineering, and analytics enablement-delivering critical, governed data assets for business insight and growth.

    [Responsibilities]

    • Design, develop, and maintain scalable data ingestion pipelines for API and ETL workloads.
    • Build and consume integrations with APIs, focusing on delivering reliable, high-quality data.
    • Structure, model, and transform raw data into consumable, analytics-ready datasets.
    • Collaborate closely with Data Engineering, Architecture, and Analytics stakeholders to align on data integration strategies.
    • Champion data modeling best practices to ensure data is organized for optimal reporting and analytical use.
    • Operate independently, requiring minimal ramp-up and oversight.
    • Maintain data governance and security standards throughout the data pipeline lifecycle.

    [Required Skills and Experience]

    • Demonstrated expertise in API integration and development.
    • Strong hands-on experience in architecting and building ETL/ELT data pipelines.
    • Proficiency with AWS data ecosystem, especially with data lake architectures.
    • Advanced Python and SQL programming abilities.
    • Solid understanding of data modeling concepts tailored for analytics and reporting.

    [Preferred Skills]

    • Experience with Genesys APIs or Genesys platforms.
    • Contact Center operations knowledge.
    • Banking or Financial Services industry experience.
    • Familiarity with Snowflake data warehousing.

    [Benefits]

    • 100% remote role available in OH, MI, IN, TX, NC, PA, CO, IL, WV, KY, GA, MA, NY, SC, AL.
    • Contract-to-hire opportunity with long-term career growth potential.
    • Collaborative environment with a focus on innovation and impact.
    • Work with cutting-edge cloud and data technologies.
    • Supportive and inclusive company culture.

    [How to Apply]

    Ready to advance your data engineering career and make a measurable impact? Submit your application through our job portal. For reasonable accommodation needs, contact [email protected] or 844-463-6178.

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    Job details

    Job ID JPC - 206350

    Location Remote Ohio, Ohio, United States

    Work Model On-site

    Job Type Contract to Hire

    Posted July 14, 2026

    Skills Highest Priority Skills 1 API Integration Experience o Strong experience consuming and building integrations with APIs o Genesys API experience would be a major differentiator 2 Data Engineering / ETL Development o Ability to independently architect and build ingestion pipelines o Must require minimal ramp-up or handholding 3 AWS Experience o Experience working in AWS environments is preferred since Huntington's Data Lake resides in AWS 4 Python & SQL o Core development skills required o Ability to structure and model data for reporting consumption 5 Data Modeling Mindset o Important that candidates understand how data should be organized and structured for analytics/reporting use cases o Not simply a developer role; needs someone capable of creating usable downstream data assets Nice-to-Haves · Contact Center experience · Genesys platform experience · Banking or Financial Services exposure · Snowflake familiarity

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