Senior Software Engineer (Data Engineer) Jobs in Georgia | Mphasis Careers
Senior Software Engineer (Data Engineering) – Mphasis
Posted by JobsForAll
Company Overview
Mphasis is a global technology services company delivering next-generation solutions that help enterprises modernize platforms and accelerate digital transformation. Known for its Front2Back™ Transformation approach, Mphasis combines cloud, data, and cognitive technologies to deliver highly personalized digital experiences for global clients.
Job Summary
Mphasis is hiring a Senior Software Engineer with a Data Engineering focus to support data-driven initiatives across US-based projects. This role is ideal for professionals with strong foundations in data pipelines, SQL, Python, and ETL concepts who want to work on scalable data systems supporting analytics and business decision-making.
Senior Data Engineering Roles in Enterprise Organizations
Senior Data Engineers play a critical role in designing and maintaining reliable data pipelines that support analytics, reporting, and business intelligence. In enterprise environments, these roles focus on scalability, data governance, and performance optimization across large datasets.
💭 JobsForAll Note: This role is well-suited for engineers transitioning from backend or application development into data engineering, offering exposure to modern data pipelines and cloud platforms.
Eligibility Criteria
- Bachelor’s degree in Computer Science, IT, or related discipline
- 3–6 years of relevant professional experience
- Strong understanding of data engineering fundamentals
- Authorization to work in the United States (as applicable)
Job Details
| Job Role | Senior Software Engineer (Data Engineer) |
|---|---|
| Company | Mphasis |
| Job ID | 115719-31-1 |
| Experience | 3 – 6 Years |
| Location | Alpharetta, Georgia / New York, USA |
| Employment Type | Full Time |
Compensation Information
Salary details for this position are not publicly disclosed by the employer. Compensation may vary based on experience, technical expertise, location, and internal role level at Mphasis.
Key Responsibilities
- Design, build, and maintain scalable data pipelines
- Develop ETL workflows to transform raw data into analysis-ready formats
- Ensure accuracy, consistency, and timeliness of data delivery
- Manage and optimize data infrastructure for performance and availability
- Monitor pipelines, identify failures, and resolve data issues proactively
- Collaborate with analytics and application teams to support data needs
Required Technical Skills
- Strong proficiency in SQL and Python
- Hands-on experience with data pipeline development
- Understanding of core ETL concepts
- Experience working with DB2 databases
- Knowledge of REST APIs and data integration techniques
- Exposure to tools like GitHub Copilot or similar assistants
Preferred Skills
- Basic understanding of Hadoop ecosystem
- Familiarity with Kafka or event-streaming platforms
- Exposure to cloud platforms (AWS, Azure, or GCP)
What Makes This Role Valuable?
This position provides hands-on exposure to enterprise-scale data systems while working with globally distributed teams. Engineers gain real-world experience in building resilient data platforms that support business intelligence and analytics.
Career Growth Opportunities
Professionals in this role can grow into Senior Data Engineer, Data Architect, or Cloud Data Specialist roles. Mphasis supports continuous learning through project exposure, mentoring, and upskilling initiatives.
Who Should Apply?
Candidates with a passion for data, problem-solving, and building reliable systems will thrive in this role. If you enjoy transforming raw data into meaningful insights and working on scalable platforms, this opportunity is a strong fit.
Selection Process
- Profile shortlisting
- Technical interview(s)
- Managerial discussion
- HR & offer stage
Apply Officially on Mphasis Careers
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FAQs
Is this role more focused on data engineering than software development?
Yes. While titled as Senior Software Engineer, the role is strongly aligned with data engineering and ETL responsibilities.
Are cloud skills mandatory?
Cloud exposure is preferred but not mandatory. Candidates with strong data fundamentals are encouraged to apply.
Is relocation required?
The role is based in Georgia or New York. Relocation details depend on project and company policies.
Does this role involve big data tools?
Basic exposure to Hadoop or Kafka is beneficial but not a strict requirement.
Working in Georgia or New York
Georgia and New York are key technology hubs in the United States, offering access to enterprise clients, diverse teams, and long-term career growth opportunities for data engineering professionals.
Technology Stack Overview
The role focuses on SQL-driven data pipelines, Python-based transformations, enterprise databases such as DB2, and integration with analytics and application platforms.
Editorial Review & Content Integrity
This job post has been independently reviewed and rewritten by the Jobs for All editorial team to ensure originality, accuracy, and compliance with Google content quality guidelines. Job details are sourced from official employer listings and verified at the time of publication.
Important Disclaimer
Company Disclaimer: Mphasis conducts recruitment only through its official career portals and authorized hiring channels. Verify all job-related communications carefully.
JobsForAll Disclaimer: JobsForAll shares verified job opportunities for informational purposes only. We never charge candidates any fees or request sensitive personal information.
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