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Data Integration Specialist

Job in Bloomfield, Hartford County, Connecticut, 06002, USA
Listing for: Brooksource
Full Time position
Listed on 2026-02-19
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

This role will focus on collaborating with external vendors to bring in healthcare data to support our current and growing suite of products. You will work directly with external partners to foster a positive relationship, review data layouts, receive inbound files, and troubleshoot connectivity and data issues, as they arise. In addition, you will use different tools and methods to review the data for accuracy, ensuring that it meets our high-quality standards.

You will use your technical skills, analytic capability, and healthcare knowledge to do a deep dive analysis into the data when needed. You will be responsible for working on many implementations at one time, alongside frequent project work and ad hoc requests. This position requires the ability to combine business acumen with technical and analytical skills, to drive data quality, project delivery, and provide subject matter expertise.

This team is extremely customer-focused with a high emphasis on collaboration with internal matrix partners.

Main Qualifications
  • Bachelor’s degree in Business, MIS or CIS or equivalent work experience
  • Minimum of 5 years of experience in the healthcare industry
  • Demonstrated experience in data exchange, particularly healthcare and clinical data
  • Strong organizational skills with the ability to be process and work on multiple implementations and projects simultaneously
  • Expert analytical skills and the ability to use creativity, logic, and various tools and technologies (Advanced Excel, Power BI, SQL, Tableau, Python, etc.) to identify and analyze data issues
  • Ability to adapt to change quickly and the willingness to learn new tools, processes, and technology
  • Demonstrated people skills including clear and professional written and verbal communication
  • Experience working independently with some direction
  • Forward thinking mindset with the drive and ability to proactively anticipate and investigate potential future issues
  • Ability to work with internal and external effectively to investigate/resolve any failures or issues that may arise
  • Demonstrated project management/coordination experience
  • Previous experience collaborating with teams across multiple organizations/matrix environments
Preferred
  • Experience with industry standard data formats (FHIR, HL7, X12)
  • Experience working in an agile environment, utilizing tools like Jira
  • Customer service, help desk, or technical support experience
Responsibilities
  • Coordinate and perform all data intake tasks across all data feed types for clients & vendors which may involve large/complex clients and support project tasks, including completion of key documents (e.g., data dictionaries, gap analysis, vendor documentation, project plans) with high quality and on-time delivery
  • Responsible for the simultaneous implementation of multiple data feeds and complex projects
  • Support new data feed types to enable expanding programs
  • Utilize your technical skills, data knowledge, and creativity to solve complex problems
  • Maintain breadth of knowledge on all product offerings and business processes
  • Work closely and effectively with customers, vendors, IT, stakeholders, and other internal business partners to meet all data feed and/or project objectives
  • Work with internal business leads to better recognize the needs of the downstream users of the data and how the Inbound Data team can drive and facilitate quality outcomes
  • Provide business insight to assist development of IT solutions that will maximize Inbound Data team’s efficiency and lead to greater quality of externally sourced data
  • Serve as lead on projects where a data SME is necessary and represent the goals and functions of ingesting quality data
  • Lead efforts to build out new capabilities and functionality to accommodate new business initiatives and/or make the platform more effective and efficient
  • Demonstrate proficiency and complete all required testing across multiple data systems including all testing, planning and execution of pilots of new data feeds or infrastructure changes
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