Solve for today, evolve for tomorrow.
Senior Consultant, Azure Data Engineer
Location
Virginia
Posted
23 days ago
Salary
Not specified
Job Description
Job Requirements
- 3+ years of professional experience in data engineering and related technical domains
- Proven ability to build robust, scalable data pipelines and production-grade ETL/ELT systems
- Strong proficiency in SQL, Python, and orchestration tools like Azure Data Factory
- Hands-on experience with big data technologies such as Azure DataBricks and file formats like Parquet and Delta Lake
- Deep experience with cloud data platforms (Azure SQL Database, HDInsight, CosmosDB, Data Lake Storage)
- Solid understanding of data modeling, performance optimization, and designing secure, well-structured data stores
- Familiarity with data lake and analytical architecture patterns
- Experience with CI/CD, Git, infrastructure-as-code, and NoSQL databases
- Effective communicator with experience working in Agile environments and collaborating across teams
- Strong problem-solving skills, a growth mindset, and a passion for learning new technologies
Benefits
- We offer top of industry medical, dental, and vision benefits with multiple options to choose from
- 8 weeks of Parental Leave, discounted pet insurance, and a Care.com membership
- Starting day one, every employee is bonus eligible and receives 15 days of paid vacation, 6 federal holidays, and 4 floating holidays
- Excella’s TechEleX program provides you with multiple options to suit your technology needs
- Annual Internet Reimbursement benefit, all employees receive an additional $25 per month
- 3 days of paid professional development every year, including an allowance for registration fees
- Employee wellness events, a HeadSpace membership, as well as access to TalkSpace and mental health coverage
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Technical Data Migration Lead
Tracker ProductsTop provider of evidence management solutions for law enforcement
Lead data migration projects for law enforcement software company
Lead and mentor multiple Databricks-focused data engineering teams, define engineering best practices and reusable frameworks, drive CI/CD and performance/cost optimization, build and support analytical and streaming pipelines, and collaborate with architects, product owners, and cross-functional partners to deliver high-quality data products.
Lead data architecture and strategy across product, data science, and engineering. Design cloud-centric, scalable data models, ETL/ingestion, governance, and AI/ML-ready analytics. Guide tooling selection, proofs-of-concept, data storage decisions, security/compliance, documentation, and mentor Data Platform team members to operationalize mission-critical data solutions.
Lead and scale Arcadia's Data & Analytics engineering organization, define multi-year data platform architecture (Snowflake-based), drive platform governance and cross-organizational adoption, optimize large-scale data processing, and align data investments with business goals while building high-performing teams.
