Data Engineer

VACO LLC
Cranberry Township, United States of America
20 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 130K

Job location

Cranberry Township, United States of America

Tech stack

Agile Methodologies
Airflow
Amazon Web Services (AWS)
Data analysis
Azure
Big Data
Google BigQuery
Computer Programming
Data Architecture
Information Engineering
ETL
Data Visualization
Data Warehousing
Python
Machine Learning
Scrum
Power BI
TensorFlow
Standard Sql
Tableau
PyTorch
Snowflake
Spark
Containerization
Scikit Learn
Kubernetes
Information Technology
Data Analytics
Machine Learning Operations
Data Pipelines
Docker
Redshift

Job description

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

Requirements

  • 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

Benefits & conditions

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

About the company

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

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