Description
We are looking for an experienced Database Developer to join a Long-term Contract assignment in Indianapolis, Indiana. This role focuses on building and supporting data integrations tied to an hours-tracking and invoicing environment, with a strong emphasis on accuracy, validation, and dependable data movement. The ideal candidate is a hands-on engineer who can work independently, collaborate directly with business stakeholders, and translate operational needs into practical data solutions.
Responsibilities:
Develop and maintain two-way data integrations with the Databricks platform to support operational and financial workflows.
Ingest key source data such as clients, services, jobs, time entries, and invoices, ensuring reliable processing of incremental updates and changing source structures.
Transform incoming data through structured pipeline layers and load curated, validated datasets into target business domains for downstream use.
Create outbound processes that return approved updates, including cash receipt information, to source applications to support accounts receivable activities.
Apply strong data validation, reconciliation, and quality controls to confirm completeness, consistency, and business accuracy across integrations.
Partner with end users, data owners, and stakeholders to gather requirements, define expected outcomes, and resolve edge cases before implementation.
Build and maintain database objects, schema changes, and data models within Databricks, Unity Catalog, and SQL Server environments following established standards.
Support deployment and release workflows through version control, automated pipelines, testing, and promotion across development through production environments.
Design solutions that handle restartability, backfills, and failure recovery while proactively monitoring for data volume, source, and quality issues.
Produce dashboards or reporting views that help stakeholders review integrated data and track business activity.
Requirements
7+ years of experience in database development, data engineering, or ETL-focused roles.
Strong hands-on experience with Databricks, including development of data pipelines and curated data layers.
Proficiency with Microsoft SQL Server, Microsoft SQL, T-SQL, and stored procedure development.
Experience with Python for data processing, automation, and integration-related development.
Solid understanding of data modeling, data validation, and data quality practices, including Master Data Management concepts.
Ability to work directly with business users and stakeholders to clarify requirements and convert them into technical solutions.
Experience using Git, GitHub, CI/CD processes, and automated deployment practices in a controlled engineering environment.
Demonstrated self-direction, problem-solving ability, and a practical engineering mindset focused on execution rather than high-level architecture alone.
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: rhalfint
- Position Id: 01400-0013474348
- Posted 2 hours ago
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