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Staff Data Engineer

Aunt Bertha

Aunt Bertha

Software Engineering, Data Science
Austin, TX, USA
Posted on Saturday, January 6, 2024
We’re changing the way people connect to social care.
At findhelp, we’ve built a comprehensive platform of products and services that make it easy for you to connect people to resources, follow them on their journey, and track your impact in a fast and reliable way. Our industry-leading social care network includes more than half a million local, state, and national programs that serve every ZIP Code in the country, from rural areas to major metropolitan centers.
Findhelp is headquartered in Austin, Texas and has been enabling healthcare, government, education, and other organizations to connect people with the social care resources that serve them, with privacy and security, since 2010.
As a mission driven organization, we are focused on creating a positive impact by connecting people in need to the programs that serve them with dignity and ease. Powered by our proprietary technology that enables people to find the resources available in their area, we have helped millions of Seekers find food, health, housing and employment programs.
We are a small team of highly motivated and skilled data engineers and DBAs. The team works on data pipeline development, provides database administration and query tuning support, and supports multiple software projects and data products.

Responsibilities and Duties:

  • Design and build data pipelines from various data sources to a target data warehouse using batch data load strategies utilizing cloud technologies.
  • Document database designs that include data models, metadata, ETL specifications and process flows for business data project integrations.
  • Monitor, maintain and optimize production systems. Investigate and resolve incidents reported by users. Identify and pursue opportunities to automate, consolidate and simplify data solutions at scale.
  • Perform periodic code reviews to ensure code is rigorously designed, elegantly coded, and effectively tuned for performance.

  • 5 years of data engineering experience with one or more languages commonly used for data operations including SQL and Python.
  • Deep knowledge and hands-on experience building/operating highly available, distributed systems of data extraction, ingestion, and processing in cloud environments such as GCP (ideal), Microsoft Azure or AWS.
  • Demonstrated strength in data modeling, ETL development, and data warehousing
  • Experience with at least one relational database such as MySQL (ideal), Oracle, or PostgreSQL and at least one NoSQL database such as DataStore (ideal), DynamoDB, or MongoDB.
  • Experience with BigQuery (ideal), Redshift, or Snowflake.
  • Experience in Airflow, GitHub, and CI/CD processes are a must.
  • Enthusiastic, highly motivated with an ability to learn quickly.
This job is based on-site in Austin, TX, Denver, CO, or Madison, WI with the opportunity to work remotely on Fridays.
Perks at findhelp
•401k & stock options
•Free food and onsite gym at our Austin HQ
•Paid parental leave
•Competitive PTO & 10 paid holidays
•Health, dental, and vision insurance
•Pet-friendly office with attached dog park at our Austin HQ
•24/7 access to telemedicine and counseling
•Book Purchasing Program
We’re building a diverse, inclusive team
You’re welcome here. We want everyone to be able to easily connect to the help they need, and we want our teams to reflect and represent our communities. It is our policy to recruit, hire, train, and promote individuals, as well as administer any and all Company policies, without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin or ancestry, physical and mental ability, political affiliation, race, religion, creed, sexual orientation, socio-economic status, veteran status, or any other protected class, in accordance with applicable laws. Accommodations are available for applicants with disabilities.
Here are some of the ways we support our staff:
•Culture Committee
•Leadership Development Training
•Paid Volunteering Time