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Data Engineer at Ajna Infotech

Plano, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

29 Dec, 25

Salary

0.0

Posted On

30 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL Server, Azure Technologies, ETL Pipelines, Dimensional Modeling, Data Governance, Power BI, Tableau, QlikView, CI/CD Pipelines, Azure DevOps, Communication Skills, Problem-Solving Skills, Databricks, Python, Machine Learning

Industry

IT Services and IT Consulting

Description

Job Description Title: Data Engineer Location: Conshohocken, PA or Plano, TX – Hybrid initially before remote Job Type: Full-Time Interview type • First Interview: Screening round • Second Interview: 1-hour Technical Interview • Third Interview: In person culture fit/soft skills screening Description: We’re hiring a Data Engineer to join our Strategic Analytics team—a collaborative group that empowers departments like Marketing, Finance, and Underwriting with actionable insights and scalable data solutions. This is a permanent position offering a competitive salary, full benefits, and clear growth potential. Must-Have Skills • 3–5 years of experience in data engineering or related roles. • Strong hands-on experience with SQL Server and Azure technologies. • Proven ability to work across on-prem and cloud environments. • Solid understanding of ETL pipelines, dimensional modeling, and data governance. • Experience with reporting tools like Power BI, Tableau, or QlikView. • Familiarity with CI/CD pipelines using Azure DevOps. • Strong communication and problem-solving skills. Bonus Skills • Experience with Databricks is a major plus. • Proficiency in Python, R, or Scala. • Exposure to machine learning, AI, or big data concepts. • Cloud certifications (Azure preferred). Additional Information All your information will be kept confidential according to EEO guidelines.

Responsibilities

The Data Engineer will join the Strategic Analytics team to provide actionable insights and scalable data solutions to various departments. This role involves working collaboratively to enhance data-driven decision-making across the organization.