# Data Engineer

**Company:** [Abacus AI](https://zerogtalent.com/ai-companies/abacus-ai)
**Location:** Remote in US
**Work mode:** Remote
**Seniority:** Mid
**Employment type:** Full Time
**Category:** Engineering
**Department:** SW Dev & DevOps
**Listed:** 2026-09-28

[View and apply on Zero G Talent](https://zerogtalent.com/ai-jobs/abacus-ai/data-engineer-8006961003)

## What you'll do

- Develop/maintain ETL pipelines with Python and SQL Server
- Write, test, debug Python code for data processing
- Create/maintain T-SQL queries, views, stored procedures
- Build/operate data workflows using Azure Data Factory, Azure SQL, Blob Storage
- Monitor pipelines, troubleshoot data quality and failures

## What you need

- 1-4 yrs data/software engineering experience
- Strong Python proficiency (functions, errors, debugging)
- Relational database experience, preferably SQL Server
- Strong SQL knowledge (joins, aggregations, subqueries)
- RESTful API integration experience

## Job description

**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.

## Other open roles at Abacus AI

- [Sr. Analyst, Enterprise Service Desk](https://zerogtalent.com/ai-jobs/abacus-ai/sr-analyst-enterprise-service-desk-8200996003) — Newark, New Jersey, United States
- [Client Technology Staging Associate](https://zerogtalent.com/ai-jobs/abacus-ai/client-technology-staging-associate-8200978003) — Orlando, Florida, United States
- [Technician, Site Services](https://zerogtalent.com/ai-jobs/abacus-ai/technician-site-services-8196399003) — Dubai, Dubai, United Arab Emirates
- [Engineer, Enterprise Service Desk](https://zerogtalent.com/ai-jobs/abacus-ai/engineer-enterprise-service-desk-8197560003) — Kent, England, United Kingdom
- [GRC Analyst](https://zerogtalent.com/ai-jobs/abacus-ai/grc-analyst-8193666003) — Chennai, Tamil Nadu, India

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