Build and maintain ETL/ELT pipelines, design data models, and develop data workflows using Snowflake, dbt, Python, and SQL. Integrate data sources with tools like Airbyte/Fivetran/Dagster, leverage AWS services (S3, Lambda, API Gateway), use Git for version control, and optionally support Tableau visualizations. Remote role with 3–7 years experience.
This is a remote position.
Primary Skills:
- Strong experience in Snowflake Data Warehouse
- Hands-on expertise in dbt (data build tool)
- Proficiency in Python for data engineering tasks
- Strong SQL and data modelling skills
Additional Requirements:
- Experience with data integration tools such as Airbyte, Fivetran, or Dagster
- Knowledge of building and managing ETL/ELT pipelines
- Hands-on experience with AWS services (S3, Lambda, API Gateway, etc.)
- Familiarity with version control (Git)
- Good to Have: Exposure to Tableau
Experience Range: 3–7 years (flexible based on skill set)
Similar Jobs
Artificial Intelligence • Fintech • Machine Learning • Mobile • Payments • Retail • Software
Own and modernize Upsides analytics data platform: migrate pipelines, reduce cost, improve governance, design reusable modeling/orchestration patterns, deliver domain-critical data products, lead cross-functional initiatives, mentor engineers, and support ML and product teams.
Top Skills:
AWSCi/CdDagsterDatabricksDbtSnowflakeTerraform
Artificial Intelligence • Legal Tech
Founding data engineer responsible for consolidating multiple data sources into a BigQuery warehouse, building ETL/ELT pipelines, creating self-serve data tools (including natural-language/LLM agents), enabling analytics and personalization, and defining data engineering standards and infrastructure for a growing AI product.
Top Skills:
BigQueryData LakeEtl/EltGoogle Cloud PlatformLlmsPythonSQLTerraformText-To-Sql
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Senior Data Engineer on PwC's Managed Data, Analytics & Insights team to design, build and manage advanced data ecosystems. Responsibilities include designing data solutions and scalable pipelines, solving complex problems, mentoring junior staff, maintaining high delivery standards, and building client relationships while aligning solutions to business context.
Top Skills:
DatabricksKafka
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus



