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Open nowPosted 11 hours ago

Data Engineer

ABACUS62 open roles

Where
Remote in US
Work mode
Remote
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Your applicationOpen nowData EngineerABACUS · Remote in US

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market. ABACUS postings stay open a median of 30 days.

Share of postings closed within
  1. 1.4%1 day
  2. 3.5%3 days
  3. 7.7%7 days
  4. 13.4%14 days
  5. 34.5%30 days
This job: posted 11 hours ago

ABACUS median: 30 days open

The posting

Overview:

The Data Engineer is responsible for developing, maintaining, and supporting data pipelines using Python and SQL Server (T-SQL), while assisting with data integration from internal and external systems within a modern Azure-based data platform. The role supports critical data operations in regulated environments and provides opportunities for hands-on learning and growth under the guidance of senior data engineers.

Job Description:

  • Develop and maintain ETL pipelines using Python and SQL Server for data ingestion, transformation, and integration from various data sources, including structured files and RESTful APIs.
  • Write, test, and debug Python code for data processing, automation, and basic integrations following established standards and best practices.
  • Create and maintain T-SQL queries, views, and stored procedures to support business logic and reporting requirements.
  • Assist in building and operating data workflows using Azure Data Factory, Azure SQL, and Azure Blob Storage.
  • Support the monitoring of data pipelines and help troubleshoot data quality issues, pipeline failures, and performance problems.
  • Follow defined data quality, security, and compliance procedures in regulated environments such as healthcare and financial services.
  • Collaborate with data analysts, software engineers, and DevOps teams to understand data requirements and upstream systems.
  • Participate in code reviews, implement feedback, and continuously improve coding and engineering practices.
  • Create and maintain clear documentation for data pipelines, logic, and operational processes.

Qualifications and Experience:

Education

  • Bachelor’s Degree — Preferred

Experience

  • 1–4 years of professional experience in Data Engineering, Software Engineering, or a related technical role — Required
  • Strong hands-on proficiency in Python, including writing functions, handling errors, and debugging code — Required
  • Experience working with relational databases, preferably SQL Server — Required
  • Strong working knowledge of SQL, including joins, aggregations, subqueries, and basic performance considerations — Required
  • Exposure to integrating or consuming data from RESTful APIs or external data sources — Required
  • Familiarity with Git or similar version control systems — Required
  • Strong analytical and problem-solving skills with the ability to learn quickly — Required

Preferred Experience

  • Experience with additional Azure services such as Azure Synapse, Azure DevOps, and Azure Functions
  • Understanding of data modeling and warehousing concepts
  • Exposure to cybersecurity data, SIEM tools, or SOC operations
  • Knowledge of .NET Framework and C#-based APIs, particularly in data consumption contexts
  • Background in MSP/MSSP environments or consulting
  • Familiarity with Power BI or other data visualization tools

Knowledge, Skills, and Abilities:

  • Exposure to Azure data services such as Azure Data Factory, Azure SQL, or Blob Storage.
  • Basic understanding of ETL concepts, data validation, and pipeline monitoring.
  • Familiarity with data modeling fundamentals, including tables, keys, and relationships.
  • Awareness of data security, privacy, and compliance standards such as HIPAA and SOC2.
  • Experience with Power BI or other data visualization tools.
  • Basic understanding of application systems or APIs built using .NET or similar frameworks.
  • Ability to design and support scalable ETL pipelines using Python and SQL Server for data ingestion, transformation, and integration from diverse sources.
  • Ability to develop and optimize T-SQL stored procedures to support business logic and reporting needs.
  • Ability to support secure and efficient data workflows using Azure Data Factory, Azure SQL, and Azure Functions.
  • Ability to help ensure data quality, lineage, and compliance requirements are maintained.
  • Ability to collaborate with software engineering, data analytics, security, and DevOps teams.
  • Ability to monitor and troubleshoot pipeline failures and data discrepancies.
  • Ability to participate in code reviews and continuously improve engineering practices.

Attributes that will drive success:

  • Ability to work effectively in a collaborative, fast-paced environment.
  • Good written and verbal communication skills.
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