Help at Home is the leading national provider of in-home personal care services, where our mission is to enable individuals to live with independence and dignity at home. Our team supports 66,000 clients monthly with the help of 53,000 compassionate caregivers across 12 states. We’re looking for people who care about others, who are willing to listen, lean in and make impactful change. Each role at Help at Home can have a positive impact in supporting our caregivers and clients. If you are someone who leads with passion and integrity and are looking to join a rapidly growing, industry leading team, Help at Home may be a good fit for you.
Job Summary:
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.
- This is a REMOTE position.
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Collaborates with stakeholders to understand business requirements and translates them into technical designs and solutions, conveying these designs to the team
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Leads or partners with the DevOps engineer to build CI/CD pipelines, enforce standards, and improve the SDLC and data security posture
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Builds frameworks, creates GitHub actions, and promotes Infrastructure as Code to streamline development and deployment processes
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Maps source system data structures into the data warehouse model, implementing best practices like change data capture (CDC) and slowly changing dimensions (SCD)
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Ensures releases meet defined quality standards for code, data, and security, blocking or delaying implementations when necessary
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Designs and develops flexible, reusable data solutions in alignment with data warehouse architecture standards
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Builds ingestion, integration, and sharing frameworks to improve data access and support Data Mesh initiatives
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Works closely with data engineers to ensure seamless communication and alignment across teams
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Maintains knowledge of current trends and emerging technologies, actively exploring new innovations to enhance our data infrastructure
Required Skills/Abilities:-
Cloud-first mindset
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Ability to thrive in a fast-paced, dynamic environment, delivering impactful solutions
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Knowledge of data orchestration (Airflow, MWAA) and batch/stream processing platforms (Spark, Kafka, AWS Kinesis)
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Familiarity with testing frameworks and TDD/BDD methodologies
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Self-starter with strong problem-solving skills, quick learning, and a collaborative attitude
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Strong data analysis and relational database skills, including advanced SQL and the ability to create complex queries and stored procedures
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In-depth understanding of data warehouse design principles, relational and dimensional modeling, and ETL/ELT methods
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Understanding of trunk-based development
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Working knowledge of Snowflake and JSON
Experience:
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Bachelor’s Degree in Computer Science, Data Science, or a related field required
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5+ years of experience in data engineering, with expertise in cloud (AWS), data warehousing, and Snowflake
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AWS architecture, development, security, and networking experience, including hands-on work with services like S3, Lambda, Glue, EMR, CloudFormation, MWAA, Kinesis, MSK
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Demonstrated experience with automation (e.g., CI/CD, deployment pipelines)
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Proficient in Go, Python, Typescript, or similar programming languages
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Strong experience with data warehousing models (e.g., Kimball, Inman) and design fundamentals
Physical Requirements:
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Prolonged periods sitting at a desk and working on a computer
Salary Range:
$115,000 - $130,000
Benefits:
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Direct deposit
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Healthcare, dental, and vision insurance
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Paid time off and parental leave
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401k
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Ongoing, in-depth training opportunities
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Meaningful work with clients who need your help
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Career growth and experience with an industry leader with 40+years of history in a high-demand field
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions upon request.
Help At Home is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or religion or other legally protected status.
Data Security and Privacy Statement
At Help at Home, we prioritize protecting your personal information during the hiring process. We comply with all relevant data privacy regulations, including HIPAA and SOX where applicable. Your data will only be used to assess your employment suitability and won't be shared with unauthorized parties.
We use strong security measures to protect your information from unauthorized access or disclosure. By submitting your application, you consent to this process. You can access, modify, or request deletion of your data by contacting us.
Employees must adhere to our data protection policies and legal requirements to safeguard sensitive information.
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