Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Abacus Group

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2008

🔒 Cybersecurity

🏥 Healthcare

Cybersecurity • Healthcare

Abacus Group is a global managed IT and cybersecurity partner specializing in highly regulated industries, primarily financial services and healthcare. They offer integrated managed IT operations, multi-cloud and infrastructure management, managed cybersecurity (including endpoint protection, access controls, monitoring, vCISO and incident response), managed AI services, cybersecurity governance and advisory, and professional services. Abacus positions itself as an MSP + MSSP delivering 24x7x365 coverage, compliance expertise, AI orchestration, and white-glove, industry-focused support to enhance resiliency and regulatory compliance. The company reports supporting 1,200+ clients in 25+ countries, with 95% of clients in financial services and healthcare.

📋 Description

• Develop and maintain ETL pipelines using Python and SQL Server for data ingestion, transformation, and integration from structured files and RESTful APIs • Write, test, and debug Python code for data processing, automation, and basic integrations • Create and maintain T-SQL queries, views, and stored procedures for business logic and reporting • Assist in building and operating workflows using Azure Data Factory, Azure SQL, and Azure Blob Storage • Monitor data pipelines and troubleshoot data quality issues, pipeline failures, and performance problems • Follow data quality, security, and compliance procedures in regulated environments such as healthcare and financial services • Collaborate with data analysts, software engineers, and DevOps teams • Participate in code reviews and implement feedback • Create and maintain documentation for data pipelines, logic, and operational processes

🎯 Requirements

• 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 • 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 • Ability to develop and optimize T-SQL stored procedures • 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 • Bachelor’s Degree — Preferred