Acuity Analytics
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Pittsburgh, Pennsylvania, with a contract length of "unknown." The pay rate is "unknown." Key skills include Databricks, PySpark, SQL, and Azure, requiring 5+ years of experience and relevant certifications.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date
March 11, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Pittsburgh, PA
-
🧠 - Skills detailed
#Azure #Data Quality #Cloud #Batch #Version Control #Data Privacy #PySpark #Data Lakehouse #SQL (Structured Query Language) #Scala #Python #Delta Lake #Security #Programming #"ETL (Extract #Transform #Load)" #Big Data #Data Lake #Spark (Apache Spark) #Data Engineering #Data Pipeline #BI (Business Intelligence) #Databricks #Visualization #Computer Science #Compliance
Role description
Preferred - Local candidates -Pittsburgh, Pennsylvania.
Job purpose
This position is part of the Enterprise Data & Analytics Capability team under the Global Technology Organization. In this role, you will lead the design, development, and optimization of large-scale data solutions on the Databricks platform
Key responsibilities
• Design, build, and maintain scalable data pipelines on Databricks (using Spark, Delta Lake, etc.)
• Write clean, efficient, and maintainable PySpark or SQL code for data transformation
• Design robust data models for analytics and reporting
• Ensure data quality, consistency, and governance
• Handle batch and streaming data workflows
• Provide architectural guidance and support in platform usage
• Drive best practices in data engineering across the team
• Monitor and optimize performance of Spark jobs and cluster usage
• Ensure compliance with security and data privacy standards
Key competencies
Essential skills
• Bachelor’s degree in Computer Science, Engineering, or a related field
• Minimum of 5 years’ programming experience which includes at least one year working with a big data platform; experience in data engineering domain, Python, SQL, and cloud platforms such as Azure
• Familiarity with relevant systems, tools, languages, and business domain which includes Data Lakehouse principles, relational and Kimball data models (required)
• Experience with CI/CD pipelines and version control tools (required)
• Knowledge of data visualization tools and BI platforms (preferred)
• Certification in Databricks or relevant cloud platforms (preferred)
• Good communication (verbal and written)
• Experience in managing client stakeholders
Acuity Analytics has earned several prestigious industry recognitions, including Great Place to Work® certifications in India and Costa Rica, AVTAR Best Companies for Women in India, the AVTAR Most Inclusive Companies Index, and silver accreditation in the Workplace Equality Index. These accolades reflect our commitment to building an inclusive, supportive and high-performance workplace for our people. Learn more here.
Follow us on social media to stay updated with Acuity Analytics news
• LinkedIn: https://www.linkedin.com/company/acuityanalytics/
• Facebook: https://facebook.com/AcuityAnalytics/
• Twitter: https://x.com/acuityanalytic?s=21
• YouTube: https://www.youtube.com/@AcuityAnalytics
Preferred - Local candidates -Pittsburgh, Pennsylvania.
Job purpose
This position is part of the Enterprise Data & Analytics Capability team under the Global Technology Organization. In this role, you will lead the design, development, and optimization of large-scale data solutions on the Databricks platform
Key responsibilities
• Design, build, and maintain scalable data pipelines on Databricks (using Spark, Delta Lake, etc.)
• Write clean, efficient, and maintainable PySpark or SQL code for data transformation
• Design robust data models for analytics and reporting
• Ensure data quality, consistency, and governance
• Handle batch and streaming data workflows
• Provide architectural guidance and support in platform usage
• Drive best practices in data engineering across the team
• Monitor and optimize performance of Spark jobs and cluster usage
• Ensure compliance with security and data privacy standards
Key competencies
Essential skills
• Bachelor’s degree in Computer Science, Engineering, or a related field
• Minimum of 5 years’ programming experience which includes at least one year working with a big data platform; experience in data engineering domain, Python, SQL, and cloud platforms such as Azure
• Familiarity with relevant systems, tools, languages, and business domain which includes Data Lakehouse principles, relational and Kimball data models (required)
• Experience with CI/CD pipelines and version control tools (required)
• Knowledge of data visualization tools and BI platforms (preferred)
• Certification in Databricks or relevant cloud platforms (preferred)
• Good communication (verbal and written)
• Experience in managing client stakeholders
Acuity Analytics has earned several prestigious industry recognitions, including Great Place to Work® certifications in India and Costa Rica, AVTAR Best Companies for Women in India, the AVTAR Most Inclusive Companies Index, and silver accreditation in the Workplace Equality Index. These accolades reflect our commitment to building an inclusive, supportive and high-performance workplace for our people. Learn more here.
Follow us on social media to stay updated with Acuity Analytics news
• LinkedIn: https://www.linkedin.com/company/acuityanalytics/
• Facebook: https://facebook.com/AcuityAnalytics/
• Twitter: https://x.com/acuityanalytic?s=21
• YouTube: https://www.youtube.com/@AcuityAnalytics
