Sr. Consultant (Data Engineer Skillset)

evolv Consulting•Dallas, TX

About The Position

Do you want to support innovative clients at the intersection of cutting-edge technologies and impactful relationships? evolv’s culture of integrity, humility, passion, and drive and have been named "Best Places to Work" by Dallas Business Journal in 2021 and 2022, "Top Workplaces" by Dallas Morning News in 2023, ranked #368 on Inc. 5000's list of fastest growing private companies in 2023 and ranked #14 on the 2024 Inc. Regionals: Southwest list of fastest growing private companies in America. We are seeking a talented and professional Sr. Consultant ( Data Engineer Skillset) to join our team.

Requirements

3+ years of experience as a Data Engineer or in a similar role (data science, business intelligence or business analytics)
Experience with SQL, data modeling, data warehousing, and building ETL pipelines
Bachelor’s degree or higher in a quantitative/technical field ( e.g., Computer Science, Economics, Finance, Mathematics, Statistics, Engineering)
Proven track record of independently delivering big data solutions
Ability to manage competing priorities simultaneously and drive projects to completion
Knowledge of continuous integration, testing methodologies, TDD and agile development methodologies
Knowledge of Data formats (Parquet, ORC etc.) and consensus management systems
Exposure to structured or unstructured storage and distributed caching
Attention to detail and effective verbal/written communication skills
Glue/AWS/Redshift experience/knowledge.

Nice To Haves

Experience in open-source technologies is plus
Structured thinking with ability to easily break down ambiguous problems and propose impactful solutions

Responsibilities

Lead the design of scalable big data platforms/solutions used to ingest and process accurately scaled traffic data
Build end-to-end solutions that enable business stakeholders, BI engineers, and analysts to self-serve their business intelligence needs
Develop and automate large scale, high-performance, scalable platform (batch and/or streaming) to drive faster analytics
Design large-scale, complex applications and frameworks with excellent run-time characteristics such as low-latency, fault-tolerance, and availability
Build and maintain custom frameworks to support engineering/analytics needs
Partner with analytic consumers and data scientists to build and improve new/existing constructs and solve data engineering problems at scale
Deploy inclusive data quality checks to ensure high quality of data
Evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale
Committed to best practices relating to craft/technology across multiple clients (success metrics involve deliverables within their craft/capability are being met, influencing client decisions and utilizing subject matter expertise to create new work on previous/existing or new clients.)
Prioritize individual operational excellence by meeting or exceeding all utilization goals ( 2000 billable hours).
Contribute to evolv’s culture and personal development through collaborating well internally, displaying our core values, participating in internal initiatives (events/groups), and/or obtaining new certifications approved by leader.
Help grow evolv by providing team member/client referrals and connecting with our internal network.
Other duties as assigned.