ComplyRight, Inc.

Data Engineer

ComplyRight, Inc.

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

AzureCloudETLJavaScriptPythonSQLTableauVBA

About the role

  • Architect and scale next-generation big data ecosystem.
  • Leverage Databricks to design robust ETL pipelines, implement sophisticated data models, and integrate diverse streaming and API sources.
  • Bridge the gap between complex engineering requirements and actionable business insights.
  • Ensure high-performance and compliance of data infrastructure.
  • Build and maintain high-performance, scalable ETL/ELT pipelines.
  • Architect robust integrations across ecosystem, including APIs and databases.
  • Implement data transformation logic, data enrichment, and cleansing protocols.
  • Develop high-efficiency data models and schemas, maximizing query performance.
  • Oversee and optimize cloud-based infrastructure using containerization and distributed computing.
  • Empower Machine Learning initiatives and collaborate with Data Science teams for predictive models.
  • Design and implement Zero-Touch automation for CI/CD.
  • Execute data governance, lineage tracking, and access controls.
  • Maintain comprehensive technical documentation.

Requirements

  • 6+ years of proven experience architecting and developing enterprise-scale data solutions.
  • Extensive hands-on experience with the Azure Data Stack, including Synapse, Data Factory, Databricks, CosmosDB, and Azure SQL.
  • Expert-level command of SQL and Python (required); additional proficiency in JavaScript, R, VBA, or web technologies (HTML/CSS/JSON) is highly valued.
  • Demonstrated success in building and managing complex ETL/ELT pipelines within both Databricks and modern Business Intelligence environments (e.g., Power BI, Sisense, Tableau, or Domo).
  • Deep experience leveraging API calls to ingest, synchronize, and automate data flow between disparate third-party and internal systems.
  • Ability to bridge the gap between backend data engineering and front-end visualization, specifically optimizing Power BI for high-performance reporting.
  • A track record of designing, testing, and scaling automated data systems that drive operational efficiency, measurable cost savings, and improved business outcomes.
  • Experience working directly with business partners to translate high-level goals into technical workflows that enhance decision-making.
Benefits
  • Competitive salary
  • Flexible working hours
  • Professional development opportunities
  • Health insurance
  • Paid time off
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
ETLELTdata modelingdata transformationdata enrichmentSQLPythonJavaScriptRVBA
Soft Skills
collaborationcommunicationproblem-solvingtechnical documentationbusiness insight translation