Data Engineer POST NUMBER: 477997
NOT OPEN TO C2C, VISA SPONSORSHIP, or THIRD PARTIES
MUST BE LOCATED IN PITTSBURGH, PA
Job Title: Data Engineer / Data Scientist (Hybrid)
Location: Pittsburgh, PA (Hybrid – 2–3 days onsite, office located just north of downtown)
Employment Type: Full-Time, Direct Hire
Overview
We are seeking a versatile Data Engineer / Data Scientist to join a growing, data-driven organization just north of downtown Pittsburgh. This hybrid role blends data engineering, analytics, and machine learning, offering the opportunity to work across the full data lifecycle—from building scalable data pipelines to developing predictive models that drive business decisions.
Key Responsibilities
-
Design, build, and maintain scalable data pipelines and ETL/ELT workflows to support analytics and machine learning initiatives
-
Develop and optimize data architectures in cloud and on-prem environments (e.g., AWS, Azure, or GCP)
-
Analyze large, complex datasets to extract insights and support business strategy
-
Build, train, and deploy machine learning models for forecasting, classification, and optimization use cases
-
Collaborate with cross-functional teams including product, engineering, and business stakeholders to translate data needs into technical solutions
-
Ensure data quality, integrity, and governance across systems
-
Create dashboards, visualizations, and reports using tools like Power BI, Tableau, or similar
-
Continuously improve data processes and recommend new tools, technologies, and methodologies
Required Qualifications
-
Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (Master’s preferred)
-
3 years of experience in data engineering, data science, or a hybrid role
-
Strong programming skills in Python and SQL
-
Experience building data pipelines and working with large datasets (e.g., Spark, Airflow, or similar tools)
-
Hands-on experience with cloud platforms (AWS, Azure, or GCP)
-
Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
-
Experience with data visualization and BI tools
-
Strong problem-solving skills and ability to communicate technical concepts to non-technical stakeholders
Preferred Qualifications
-
Experience with containerization and orchestration tools (Docker, Kubernetes)
-
Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery)
-
Familiarity with MLOps practices and model deployment pipelines
-
Experience in Agile or Scrum environments
Why Join Us?
-
Hybrid flexibility with a modern office conveniently located near downtown Pittsburgh
-
Competitive salary and comprehensive benefits package
-
Opportunity to work on impactful, data-driven initiatives with cutting-edge tools
-
Collaborative and innovative team environment with strong growth potential
Vaco by Highspring values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.
EEO Notice
Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law.
Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact HR@vaco.com .
Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal.
By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal.
Privacy Notice
Vaco by Highspring and its parents, affiliates, and subsidiaries (“we,” “our,” or “Vaco by Highspring”) respects your privacy and are committed to providing transparent notice of our policies.
- California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here.
- Virginia residents may access our state specific policies here.
- Residents of all other states may access our policies here.
- Canadian residents may access our policies in English here and in French here.
- Residents of countries governed by GDPR may access our policies here.
Pay Transparency Notice
Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to:
- the individual’s skill sets, experience and training;
- licensure and certification requirements;
- office location and other geographic considerations;
- other business and organizational needs.
With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.