Build and support high-performance data solutions, design and operate ETL pipelines and data warehouses, monitor production analytics tools, troubleshoot system issues, collaborate with product teams, and support TechOps for analytics infrastructure.
At Grant Street Group, we build high‑quality software and provide uncompromising support for tax collection, electronic payments, and auctions, helping government agencies work better and deliver reliable, efficient services.
Data-driven decision making is an increasingly important part of our company culture, and our Data Analytics team provides the tools to make it happen. As part of this team, developers are responsible for building and supporting high performance data solutions, monitoring and responding to our growing network of tools, and facing and overcoming complex technical challenges. We are looking for a data engineer who has a strong technical background and interest in ETL processes and data warehousing.
Some qualities we think would make you a good fit:
- You enjoy a variety of work: You’re bored by a work environment where every day is the same and the steps are all laid out for you. You’d much prefer a variety of challenging work and ownership over the solution. You love getting to the root of the issue, whether it’s an application error or a client request.
- You develop with the end user’s needs in mind: You set up tools to maximize value and minimize headaches for the people who use them. You also develop solutions with an end goal in mind, and build products for the long-term.
- You take responsibility for your solutions: You’re comfortable supporting the tools and pipelines you build, monitoring them in production, and troubleshooting issues when they arise.
- You love working in a team: You will work in a small but mighty team in charge of the entire data and business intelligence lifecycle. You’ll collaborate with your team members as well as our product teams to create a great experience for our users.
Some technical experience we would like you to have or be able to get up to speed with quickly:
- Strong SQL, including data modeling concepts and ETL best practices
- Solid programming skills in Python or Go, and willingness to learn other languages as needed (Groovy, Perl)
- Experience with cloud‑based data engineering (AWS, GCP)
- Experience with tools for large‑scale data migration (Databricks)
- TechOps skills that help you support analytics tools, patch and update platforms, and troubleshoot system issues or failures
- Comfort with the Linux command line and shell scripting
Lastly...
There is minimal travel: 1-3 weeks per year for on-site meetings. If you live (or want to) in Pittsburgh, you can work in our downtown headquarters.
We reward teamwork, professional excellence, and individual responsibility. Using the best collaboration tools available, we offer a technology-rich work environment that makes it possible for us to support on-site and telecommuting positions tailored to the needs of our employees. If you are passionate about your work, you have entrepreneurial spirit and you want to be on a team of exceptional professionals, then maybe Grant Street is for you!
Expected Salary Range: $80,000 – $180,000/year
Recruitment Fraud Warning:
It has come to our attention that various individuals have been posing as Grant Street Group employees and contacting job seekers to schedule interviews and/or complete pre-interview screening questions.
All legitimate Grant Street Group positions require completing an application on our website before an interview. When you are contacted by Grant Street Group, all correspondence will come from an email address ending in “@grantstreet.com”.
The hiring process usually takes several weeks and begins with a phone or video interview. Grant Street Group will not ask you to use any platform other than Google Meet or Zoom to conduct an interview. We will not ask you to make payments or to provide your date of birth, social security number, or banking details during the interview process.
If you believe you have been a victim of recruiting fraud concerning Grant Street Group, please contact us at [email protected].
It has come to our attention that various individuals have been posing as Grant Street Group employees and contacting job seekers to schedule interviews and/or complete pre-interview screening questions.
All legitimate Grant Street Group positions require completing an application on our website before an interview. When you are contacted by Grant Street Group, all correspondence will come from an email address ending in “@grantstreet.com”.
The hiring process usually takes several weeks and begins with a phone or video interview. Grant Street Group will not ask you to use any platform other than Google Meet or Zoom to conduct an interview. We will not ask you to make payments or to provide your date of birth, social security number, or banking details during the interview process.
If you believe you have been a victim of recruiting fraud concerning Grant Street Group, please contact us at [email protected].
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design and operate scalable batch and streaming data platforms supporting machine learning and generative AI. Build pipelines for structured, unstructured, OCR, document, and image data; develop RAG, semantic search, and LLM-powered solutions; and establish data quality, observability, governance, orchestration, and deployment practices. Partner with stakeholders, lead platform scalability and cost optimization, mentor engineers, and translate ambiguous needs into production-ready technical roadmaps while securely handling sensitive data.
Top Skills:
AirflowAmazon KinesisSparkAWSAzureAzure Event HubsChart.JsDatabricksDeequDelta LakeDockerGithub ActionsGCPGreat ExpectationsJavaKafkaKubernetesLlmsMlopsPlotlyPysparkPythonRagScalaSeabornSnowflakeSQLTerraform
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Configure and maintain Adobe Experience Platform and Real-Time CDP data pipelines, XDM schemas, datasets, identity resolution, Profile enablement, segmentation readiness, and destination activation. Validate data quality, troubleshoot ingestion and identity issues, manage sandboxes, and implement privacy, consent, governance, and access controls. Partner with architects, data engineers, consultants, analysts, data scientists, and marketing teams to support reporting, personalization, and machine learning readiness.
Top Skills:
Adobe AnalyticsAdobe Experience PlatformAdobe I/O RuntimeAdobe Journey OptimizerAdobe Real-Time CdpAdobe Source ConnectorsAdobe TargetAPIsAWSAzureBatch IngestionBigQueryCcpaData PrepEltETLGCPGdprJavaScriptPythonQuery ServiceRedshiftSalesforce CdpSegmentSnowflakeSQLStreaming IngestionWeb SdkXdm
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead cloud data modernization by designing and implementing Azure/Snowflake/Databricks data platforms, building scalable ETL/ELT pipelines, ensuring data quality, security and governance, implementing CI/CD, mentoring engineers, and supporting healthcare data solutions and compliance.
Top Skills:
AirflowAzureAzure Data Factory (Adf)Azure Data Lake Storage Gen2 (Adls Gen2)Change Data Capture (Cdc)CptDatabricksDatabricks GenieEtl/EltFacetsFhirGitGithub ActionsGithub CopilotHcpcsHl7Icd-10LlmsLoincPrompt EngineeringPysparkPythonRag PipelinesSnowflakeSnowflake CortexSparkSQL ServerSsisVector StoresVisioX12 Edi (837/835/834)
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
