$100,000–$125,000 Per Year
Artificial Intelligence (AI), Banking Services, Big Data, Business Model, Cloud Computing, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Credit Cards, Cross-Functional, Data Analysis, Data Management, Data Modeling, Data Processing, Data Science, Data Sets, Data Warehousing, Database Extract Transform and Load (ETL), Debugging Skills, DevOps, Docker, Financial Services, Git, Healthcare, Human Resources, Identify Issues, Insurance, Jenkins, Operational Audit, Performance Tuning/Optimization, Problem Solving Skills, Python Programming/Scripting Language, Quality Assurance, Retail, SQL (Structured Query Language), Scalable System Development, Software Engineering
Job Title: Data Engineer Experience: 3+ Years Location: Pittsburgh Job Summary
We are looking for a highly skilled Data Engineer with strong expertise in Python and SQL, along with hands-on experience in DevOps and CI/CD practices. The role involves building scalable data pipelines, optimizing data systems, and enabling efficient data-driven solutions.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Python and SQL.
- Build and optimize data ingestion and transformation frameworks for large datasets
- Develop robust solutions for data processing, validation, and quality assurance
- Implement CI/CD pipelines and DevOps practices for data engineering workflows
- Automate data pipelines, deployment, and monitoring processes
- Work with cross-functional teams to understand business requirements and deliver data solutions
- Troubleshoot and optimize performance of data pipelines and systems
Must-Have Skills
- Hands-on experience in Python and SQL
- Experience in data engineering concepts: ETL/ELT, data modeling, data warehousing
- Solid exposure to DevOps tools & practices (CI/CD, Git, Jenkins, Docker, etc.)
- Experience in building production-grade data pipelines
- Strong debugging, problem-solving, and optimization skills
Good to Have
- Experience with PySpark / Big Data technologies
- Exposure to cloud platforms.
- Knowledge of workflow orchestration tools (Airflow, etc.)
- Understanding of data governance and quality frameworks
Qualification:
- Bachelor''s degree in related field
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.
EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL's Human Resources team, as well as our hiring managers.
Graduate in Computer Science, Data Science, or related field. 3-6 years of experience in data engineering or related field.
Base Compensation Range: $100-125k
The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate''s skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Python and SQL.
- Build and optimize data ingestion and transformation frameworks for large datasets
- Develop robust solutions for data processing, validation, and quality assurance
- Implement CI/CD pipelines and DevOps practices for data engineering workflows
- Automate data pipelines, deployment, and monitoring processes
- Work with cross-functional teams to understand business requirements and deliver data solutions
- Troubleshoot and optimize performance of data pipelines and systems
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Python and SQL.
- Build and optimize data ingestion and transformation frameworks for large datasets
- Develop robust solutions for data processing, validation, and quality assurance
- Implement CI/CD pipelines and DevOps practices for data engineering workflows
- Automate data pipelines, deployment, and monitoring processes
- Work with cross-functional teams to understand business requirements and deliver data solutions
- Troubleshoot and optimize performance of data pipelines and systems