Data Engineer

KNOWFINITY; Texas; On-site; USD 90,000 - 140,000; Full time

Job summary

KNOWFINITY is hiring a Data Engineer to join a Fortune 500 healthcare client in the United States. You will design, build, and optimize scalable ETL/ELT pipelines across healthcare data platforms and cloud ecosystems.

The role requires hands-on experience with SQL, Python, PySpark or Scala, and cloud technologies (AWS/Azure/GCP). You will collaborate with analysts, stakeholders, and engineering teams to deliver reliable data solutions.

Qualifications

• 2+ years of experience as a Data Engineer or in a related data-focused role.
• Strong experience with SQL and relational databases.
• Hands-on experience with Python, PySpark, or Scala.
• Experience working with ETL tools and data pipeline development.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with big data technologies like Spark, Hadoop, or Databricks is preferred.
• Knowledge of data warehousing concepts and dimensional modeling.
• Strong analytical, problem-solving, and communication skills.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Build and optimize data workflows using modern cloud and big data technologies.
• Collaborate with data analysts, business stakeholders, and engineering teams to deliver reliable data solutions.
• Develop data integration processes across multiple healthcare and enterprise systems.
• Ensure data quality, integrity, governance, and security standards are maintained.
• Monitor and troubleshoot data pipelines and production jobs.
• Support reporting, analytics, and business intelligence initiatives.
• Participate in performance tuning and optimization of databases and data processing systems.

Skills

SQL

Python

PySpark

Scala

ETL

Cloud platforms

Data warehousing

Dimensional modeling

Communication

Analytical thinking

Education

Bachelors degree in CS/IT/Engineering

Tools

Databricks

Spark

Hadoop

ETL tools

Job description

We are hiring a Data Engineer on behalf of one of our prestigious Fortune 500 Healthcare clients in the United States . This is an excellent opportunity to work on large-scale healthcare data platforms, modern cloud technologies, and enterprise-grade data engineering initiatives that directly support critical business and patient-care operations.

The ideal candidate should have hands-on experience in building scalable data pipelines, working with cloud-based data ecosystems, and supporting analytics and reporting solutions in a fast-paced enterprise environment.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Build and optimize data workflows using modern cloud and big data technologies.
• Collaborate with data analysts, business stakeholders, and engineering teams to deliver reliable data solutions.
• Develop data integration processes across multiple healthcare and enterprise systems.
• Ensure data quality, integrity, governance, and security standards are maintained.
• Monitor and troubleshoot data pipelines and production jobs.
• Support reporting, analytics, and business intelligence initiatives.
• Participate in performance tuning and optimization of databases and data processing systems.

Qualifications

• 2+ years of experience as a Data Engineer or in a related data-focused role.
• Strong experience with SQL and relational databases.
• Hands-on experience with Python, PySpark, or Scala.
• Experience working with ETL tools and data pipeline development.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with big data technologies like Spark, Hadoop, or Databricks is preferred.
• Knowledge of data warehousing concepts and dimensional modeling.
• Strong analytical, problem-solving, and communication skills.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.

Preferred

• Healthcare domain experience preferred
• Exposure to HIPAA-compliant environments is an advantage
• Strong analytical and problem-solving skills

What We Offer

• Opportunity to work with a Fortune 500 Healthcare organization.
• Exposure to enterprise-scale cloud and data engineering projects.
• Collaborative and technology-driven work environment.
• Competitive compensation package.
• Long-term growth and career advancement opportunities.

Work Authorization Candidates must be legally authorized to work in the United States. Visa sponsorship is available for eligible candidates.

Skills: python,healthcare,data,gcp,aws,cloud,big data,sql,analytics,azure,data engineering,etl