Data Engineer

We are seeking an exceptional and experienced data engineer who shares our passion and obsession with quality. You'll be a core member of our product and engineering team dedicated to helping our clients replace time-consuming, manual processes to reach informed real-time decisions about government markets, competitors, and agency relationships. We need a skilled and dedicated data nerd to join our team to lead us in uncovering truth and meaning in data. You must be a hands-on engineer with a strong understanding of both data management and governance standards. You must also have strong interpersonal skills to work cross-functionally across internal teams as well as directly with end users and Govini platform SMEs.

In order to do this job well, you must be a curious and eager problem solver with a hunger for delivering high-quality data solutions. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You're uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You're scrappy. We like scrappy.

This role is a full-time position located out of our office in Pittsburgh, PA. Local to Pittsburgh is preferred, but if we find a solid candidate remote, the expectation would be to visit the PA office at least 1x a month.

This role will require 75- 80% travel

location: Pittsburgh, Pennsylvania

job type: Contract

salary: $84 - 85 per hour

work hours: 8am to 5pm

education: Bachelors



responsibilities:

Required Skills -

Data, SQL, RDBMS

Job Duties -

- Define and lead data lifecycle strategy across data acquisition, data ingestion, data cleansing, normalization and linkage.

- Ensure key entities within datasets are identified, resolved and linked to existing entities within the current master data repository.

- Apply various techniques to produce solutions to large-scale optimization problems, including data pre-processing, indexing, blocking, field and record comparison and classification.

- Improve data sharing, increase data repurposing and improve cost efficiency associated with data management efforts.

- Build best practices that help with chain of custody of data so it can be easily traced back to the source for accuracy and consistency.

- Work across functional teams to understand advanced statistical, machine learning, and text processing models and incorporate them into the client's existing data engineering infrastructure.

- Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.

- Work directly with users as well as SMEs to establish, create and populate optimal data architectures and structures, as well as articulate techniques and results using non-technical language.

Job Requirements -

- U.S. Citizenship is required

- Bachelor's degree in Computer Science, Mathematics or a related technical field

- 3-5 years experience with programmatically transforming data

- Experience with RDBMS

- Advanced SQL programming skills

- Proficient usage of common data formats such as CSV, XML, and JSON

- Requires strong analytical ability and attention to detail

- Ability to work independently with little supervision

- A burning desire to tackle hard problems and create sustainable solutions

Desired Skills & Experience -

- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship

- Experience in or exposure to the nuances of a startup or other entrepreneurial environment

- Experience using Amazon Web Services

- Experience in or exposure to the nuances of a startup or other entrepreneurial environment

- Working knowledge with large (multiple terabytes) amounts of data

• Experience level: Experienced
• Minimum 3 years of experience
• Education: Bachelors