Top Data Engineer Jobs in Pittsburgh, PA
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As a Staff Analytics Engineer at Amplify, you will work within data analytics teams to create data models and metrics, enhance processes, and provide insights for educators. Your responsibilities include building analytical models, ensuring data privacy while analyzing performance, and collaborating with data specialists to enhance data practices.
The Data Conversion and Migration Lead will oversee data migration activities, including developing data cleansing strategies, managing data migration security, and coordinating data validation efforts. This role involves supporting the transition to a new financial system, ensuring accurate data flow, testing migration plans, and documenting all activities.
The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.
As a Data Architect, you will design, implement, and maintain a robust data architecture, supporting advanced analytics and business intelligence initiatives. You will collaborate with cross-functional teams to integrate data from various sources, create and maintain data models, establish data governance policies, and identify performance optimization opportunities.
The Data Architect will design and optimize the organization's data infrastructure to align with business goals and enhance data-driven decision-making. Responsibilities include developing data solutions using various Azure services, managing data architecture, ensuring compliance with regulations, and collaborating with cross-functional teams to meet data infrastructure needs.
As a Data Operations Engineer at Podium, you'll manage data flow, optimize systems, and support engineering teams in using various data technologies, particularly Elasticsearch. You'll focus on performance tuning, automating infrastructure with Terraform and Ansible, and contributing to AI initiatives for local businesses. This role emphasizes collaboration and innovation in a fast-paced environment.
The Data Engineer will design, develop, and maintain ETL pipelines, ensure data quality, collaborate with various teams to support Machine Learning and Analytics, and engage with customers to understand data needs. The role requires proficiency in data engineering and coding, particularly with Python and Typescript, along with hands-on experience with SQL.
The Senior Data Reporting and Development Consultant will implement data solutions for clients, focusing on business reporting needs using Power BI and SSRS. This role requires scoping, designing, and delivering reports while interacting with C Suite clients and using various cloud and on-prem solutions.
Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
Lead a team of data engineers to develop and implement high-quality data solutions and architectures, while driving a data-driven culture within the organization. Collaborate with cross-functional stakeholders, build data pipelines and products, and manage the development of a world-class data lake, ensuring compliance with healthcare industry standards.
Top Companies in Pittsburgh, PA Hiring Data + Analytics Roles
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