Excella is a leading provider of Agile software development and data and analytics solutions to clients in the federal, commercial and non-profit sectors. We believe that great work leads to great things –- our experts measure success by the positive impact we make on our clients, community, and colleagues. We are growing fast and need passionate, innovative people who love working with technology and are ready to make an impact. Here's what you can expect from us:
- Workplace sites look different for everyone – whether it’s your home or the office, we believe in a flexible work/life balance that supports you regardless of your location. We offer a home office allowance that can be used for home office furniture/equipment, a daily pass for a coworking space, etc. Our commute reimbursement plan has you covered for whether you bike, Metro, or drive to work.
- We offer top of industry medical, dental, and vision benefits with multiple options to choose from such as an employer-contributed health savings account, infertility coverage, and orthodontia so you can select the plan that works best for you.
- Regardless of what stage of life you’re in, Excella wants to support you. We provide 8 weeks of Parental Leave, discounted pet insurance, and a Care.com membership with 3 back-up emergency child or elder care days annually – all available to you on your first day.
- Starting day one, every employee is bonus eligible and receives 15 days of paid vacation, 6 federal holidays, and 4 floating holidays.
- Doing your best work means having the best tools! Excella’s TechEleX program provides you with multiple options to suit your technology needs. Choose between a variety of Mac or PC devices, and to ensure your hardware remains current, at the end of a 3-year period Excella will replace your existing computer with a new model from the program. Plus, we’ll even give you the original device to keep for your personal use!
- Excella provides a Workplace Allowance to offset both the costs to maintain a distributed work environment and to enhance your workplace wellness. Excella will reimburse all full-time Excellians for up to $500 in expenses incurred during the calendar year.
- Diversity and inclusion matter. Excella created and continues to support employee led-affinity groups and the Inclusion Diversity Equity Ambassador (IDEA) team, a cross-functional employee-led initiative to continually foster innovation and increase inclusion within Excella.
- We'll invest in your career by providing 3 days of paid professional development every year, including travel and registration fees to attend classes and conferences.
- We encourage mindfulness and overall well-being through employee wellness events, a HeadSpace membership, as well as access to TalkSpace and mental health coverage through our medical plans.
Overview
The Data Engineer participates in the design and build of modern data products that comprise of raw data stores (data lakes) and cleansed data repositories, populated by batch or streaming data pipelines. The Data Engineer works with a team to create a robust, sustainable and flexible design and leads the technical delivery using Agile delivery frameworks like Scrum or Kanban.
Responsibilities
- Developing and managing data processes to ensure that data is available and usable
- Creation and automation of data pipelines and platforms
- Managing and monitoring data quality via automated testing frameworks (Data Driven Testing, TDD, etc.)
- Working closely with Architects, Data Scientists, and DevOps to design, build, test, deliver, and maintain sustainable and highly scalable data solutions
- Researching data acquisition and evaluating suitability
- Integration of data management solutions into client environment
- Actively managing risks to data and ensuring there is a data recovery plan
- Building data repositories such as: data warehouses, data lakes, and operational data stores, etc.
Qualifications
- 4+ years relevant professional work experience.
- Experience and expertise in the following:
- Creating robust and extensible data pipelines for production systems
- Experience using Azure data services (e.g., Azure Data Factory, Azure Data Lake Storage, Azure Synapse, Azure Blob Storage)
- Experience using Azure Databricks, including data ingestion, transformation, and analytics using Databricks notebooks and clusters
- Experience using continuous integration and continuous deployment (CI/CD) practices and tools (e.g., Azure DevOps, Jenkins)
- Experience using scripting languages (e.g., Python, Bash, PowerShell) for automating data pipeline deployments and management
- Creating secure, performant, and well-modeled data stores
- Common analytical platform architectural patterns (Star Schema, data integration patterns, ABAC, data quality frameworks, etc.
- Data lake design patterns and technology options (schema on read, metadata capture, search framework
- Familiarity with NoSQL databases
- Source code version control management using git
- Project experience using the Scrum or Kanban framework
- Professionalism: to include written and oral communication-the ability to communicate collaboratively in front of a whiteboard. An ability to understand your audience and adjust your communication style to fit
- Aptitude and desire for learning new technologies
- Technically savvy, entrepreneurial spirit who thrives in environments that reward self-initiative and resourcefulness
- Understanding of DevOps Research and Assessment (DORA) and the capabilities within the DORA capability catalog is encouraged
- Microsoft Certified: Azure Data Engineer Associate (DP 203) certification (preferred)
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What We Do
Excella is an Agile technology firm helping leading organizations realize their future through the power of technology.
We're a community of experts. Problem solvers and collaborators, teachers and leaders, creative minds and analytical thinkers. We think our different talents and backgrounds make us better technologists.
Our expertise in Agile transformation, artificial intelligence, digital services delivery, and modernization enables us to solve today's challenges and evolve technology approaches for tomorrow.
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