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62 Tech Providers Data Jobs Hiring Near You

4P Consulting Inc.

Data Scientist 1

Atlanta, GA · On-site

... care, and technology. Key Responsibilities : * Data Collection : Gather and collect large datasets from multiple sources, including APIs, databases, and external providers. * Data Cleaning

Centene

Manager, Provider Data Management

$70K - $126K/yr

Minimum (3) years' experience working in a health care setting, preferably with a background in provider relations, provider data services, information technology or claims operations. Experience ...

Scanhealthplan

Director, Provider Data Operations

Partners across Operations, Technology, Network Management, Compliance, Product, Digital, vendors, and delegated provider groups to integrate, govern, and improve provider data across enterprise ...

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Tech Providers Jobs Information

What makes Tech Providers an attractive place to work?

Tech Providers is a leading technology company that has established itself as a pioneer in the industry, known for its cutting-edge solutions and commitment to innovation. The company's work environment is characterized by a culture of collaboration, where employees are encouraged to share ideas and work together to drive progress, as well as a focus on employee well-being and professional development. Joining Tech Providers offers opportunities for individuals to make a meaningful impact, grow their skills and expertise, and be part of a dynamic team that is shaping the future of technology.

What are the most popular job types at Tech Providers?

    What are the most popular jobs at Tech Providers?

    What are the most popular categories at Tech Providers?

    Infographic showing various Data job openings at Tech Providers in the United States as of August 2026, with employment types broken down into 53% Full Time, and 47% Contract. Highlights an 68% Physical, 19% Hybrid, and 13% Remote job distribution.

    Data Engineer

    TPI Global (formerly Tech Providers, Inc.)

    New York, NY • On-site

    $125K - $150K/yr

    Temporary

    Posted 17 days ago

    Job description


    Job Title: Data Engineer
    Duration: 12 months contract with high possibility of extension
    Location: New York City, NY 10003 (Onsite)
    Duties:
    Design, build, and optimize scalable ELT/ETL pipelines ingesting banking and treasury data from Kyriba into Snowflake and Databricks. Develop and own canonical data models and schemas for cash positions, bank transactions, intercompany settlements, and reconciliation outputs Architect data warehousing solutions ensuring seamless integration across cloud platforms and structured/unstructured data sources Collaborate with business stakeholders to understand data needs and develop high-performance solutions. Build and maintain reconciliation logic that compares Kyriba source data against GL systems (NetSuite) and surfaces discrepancies for Finance Operations Ensure pipelines operate with high availability, fault tolerance, and observability -including alerting, monitoring, and automated recovery
    • Drive performance tuning and optimization across Snowflake and Databricks environments to ensure efficiency at scale
    • Enforce data quality, governance, and security compliance while managing large datasets, including SOX-relevant audit trails and lineage tracking
    • Collaborate with Finance, Treasury, and Accounting stakeholders to translate business reconciliation requirements into scalable data solutions
    • Work cross-functionally with data science and analytics teams to support ML/AI pipelines and feature engineering built on top of treasury and financial data
    • Stay current on emerging data technologies and recommend enhancements to existing architectures.
    • Skills:
    • 5+ years of data engineering experience building and maintaining production pipelines
    • Strong expertise in Databricks, Apache Spark (PySpark/SQL).
    • Proven experience designing and managing data warehouses using Snowflake or equivalent cloud warehouse technologies
    • Deep understanding of data modeling, SQL, and performance optimization
    • Hands-on experience with AWS services -including S3, Glue, Lambda, and Redshift -for cloud-based data integration and pipeline orchestration
    • Experience implementing ETL/ELT processes using cloud-native orchestration tools (e.G., Airflow, dbt, or equivalent)
    • Solid knowledge of real-time or near-real-time streaming technologies (Kafka, Spark Streaming, or similar)
    • Familiarity with ML/AI data pipelines and feature engineering best practices -experience preparing and serving financial data for downstream models
    • Strong understanding of data quality, validation, and reconciliation patterns
    • Strong communication and collaboration skills with the ability to work directly with business stakeholders in a fast-paced enterprise environment
    • Ability to work independently and deliver with minimal direction.

    Meet Your Recruiter
    Praveen Dubey

    Apply