KNOWFINITY

Data Engineer

KNOWFINITY
2 - 5 years
Manhattan, KS
$100k - $160k/year
Full-time
Onsite
1 month ago

About the role

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

Skills

EducationInformation Technology
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