Responsible for designing, developing, and maintaining scalable data pipelines and infrastructure, implementing data governance, and collaborating with teams to meet data needs.
About the Role
We are seeking an experienced Senior Data Engineer to join our growing IT team. This role will be responsible for designing, developing and maintaining scalable data pipelines and infrastructure to support our organization’s data needs.
Specific Responsibilities:- Design, develop, and maintain robust data pipelines and infrastructure to support data integration, processing, and storage
- Collaborate with analysts and other stakeholders to understand data requirements and translate them into technical solutions
- Implement best practices for data governance, security, and quality assurance to ensure the reliability and accuracy of data
- Explore and evaluate new technologies and tools to enhance our data infrastructure and capabilities
- Design and implement complex data models on Azure Synapse Analytics to support data warehousing Utilize Azure DevOps for continuous integration, continuous delivery, and agile project management.
- Manage and optimize Apache Spark pools for high-performance data processing tasks.
- Develop and maintain ETL processes and data pipelines using Python scripting.
- Ensure data quality and integrity across all platforms and systems.
- Collaborate with cross-functional teams to translate business needs into technical specifications.
- Stay current with industry trends and advancements in Azure data services.
- Bachelor’s degree in Computer Science, Engineering, or related field
- Minimum of 5+ years experience in data engineering roles, with a strong focus on building and maintaining data pipelines and infrastructure
- Strong proficiency in Azure Synapse Analytics, Azure DevOps, and Apache Spark pools.
- Expertise in Python scripting and other programming languages such as SQL and Java
- Senior level knowledge of data modeling, processes, and data warehouse concepts
- Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholders
- Experience with data modeling, warehousing, and building ETL pipelines
- Familiarity with Azure Data Factory, Azure Data Lake Storage, and other Azure data services
Health-E Commerce's compensation philosophy is grounded in market data and internal equity to ensure fairness and consistency across the team. Individuals new to the company should generally expect offers to fall between the entry point and midpoint of the salary range. Our goal is to provide an offer that supports growth potential within the role and allows for future salary progression.
- Compensation: $130,000 - 155,000
- Discretionary Annual Bonus Eligibility: Up to 10%
- Medical, Dental, Vision, and 401K with a company match
- Dependent Care, FSA & HSA accounts
- Paid Parental & Bonding Leave
- Flexible PTO & office closure on all major holidays
- Monthly wellness & internet reimbursements
- Professional development including certification support & leadership coaching
- Mental Health resources
- 100% remote within the United States
- Must be able to work EST hours
Candidate Privacy Notice
Similar Jobs
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
The Senior Data Engineer develops ETL/ELT pipelines and data solutions for lab operations, focusing on collaboration and continuous improvement in data processing.
Top Skills:
AirflowAWSAzureGitGitPandasPower BIPythonSparkSQL
Software
The Senior Data Engineer will design and implement data architecture, manage production data pipelines, lead projects, and ensure quality and documentation while supporting progressive politics through data-driven solutions.
Top Skills:
AirflowBigQueryDagsterDbtGoogle Cloud PlatformPythonSQL
Big Data • Healthtech • Software • Analytics • Pharmaceutical • Infrastructure as a Service (IaaS)
As a Senior Data Engineer, you'll design scalable data models, build automated ETL pipelines, and mentor junior engineers while collaborating across teams.
Top Skills:
AzureDbtDockerPostgresPythonSnowflakeSQLTerraform
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
