Consultant III (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 Consultant III (Data Engineer Skillset) to join our team.

Requirements

5+ 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.
Structured thinking with ability to easily break down ambiguous problems and propose impactful solutions.
Attention to detail and effective verbal/written communication skills.

Nice To Haves

Experience in open-source technologies is plus.

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.
Remain committed to successful delivery to the client on every engagement (success metrics involve deliverables met, client satisfaction, future project recommendations/extensions and collaboration).
Prioritize operational excellence by meeting or exceeding all utilization goals.
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.