Data Engineer II

March 15

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Help at Home

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Help at Home is a leading national provider of high-quality, relationship-based in-home care services, primarily catering to Medicaid-eligible seniors and individuals with disabilities. Since 1975, the company has committed to delivering compassionate and transformational personal care, focusing on maintaining client wellbeing and independence in their own homes. Help at Home prides itself on its caregiver-focused culture, ensuring clients can comfortably age-in-place with dignity and respect. With a reputation for innovative care coordination, the organization supports about 1 million home care hours served per year, with a strong emphasis on cultural and community engagement.

Home Care Aide • Personal Care Aide • Respite Care • Nursing Care (RNs, LPNs, CNAs) • Transportation Services

4907 - 4907 employees

Founded 1978

⚕️ Healthcare Insurance

🧘 Wellness

📋 Description

• As a Data Engineer II at Help at Home, you will play a key role in enhancing our data infrastructure to support the company’s growth. • You’ll collaborate with stakeholders to design scalable, high-quality solutions that drive innovation and ensure seamless data integration. • This role involves leading the creation of flexible data frameworks and translating business needs into technical solutions. • You’ll contribute to strengthening development processes and ensuring data security and governance, while making a direct impact on the company’s ability to make data-driven decisions and adapt to business challenges.

🎯 Requirements

• Cloud-first mindset • Ability to thrive in a fast-paced, dynamic environment, delivering impactful solutions • Knowledge of data orchestration (Airflow, MWAA) and batch/stream processing platforms (Spark, Kafka, AWS Kinesis) • Familiarity with testing frameworks and TDD/BDD methodologies • Self-starter with strong problem-solving skills, quick learning, and a collaborative attitude • Strong data analysis and relational database skills, including advanced SQL and the ability to create complex queries and stored procedures • In-depth understanding of data warehouse design principles, relational and dimensional modeling, and ETL/ELT methods • Understanding of trunk-based development • Working knowledge of Snowflake and JSON

🏖️ Benefits

• Direct deposit • Healthcare, dental, and vision insurance • Paid time off and parental leave • 401k • Ongoing, in-depth training opportunities • Meaningful work with clients who need your help • Career growth and experience with an industry leader with 40+years of history in a high-demand field