Data Engineer (AI)

Location: In-office in Pittsburgh, PA; Strongsville, OH; Dallas, TX; Denver, CO; Phoenix, AZ; or Birmingham, AL, United States

Base salary: $86,250.00–$158,125.00 per year, plus incentive eligibility.

Company

hirify.global is a financial services company developing enterprise data and automation capabilities for analytics, business intelligence, and customer solutions.

What you will do

• Monitor, maintain, and improve the stability, reliability, scalability, performance, and cost efficiency of large-scale enterprise data platforms.
• Drive migration from legacy Hadoop systems to unified, cloud-native data platforms and contribute to transformation initiatives.
• Design data observability analytics, ETL/ELT monitoring, intelligent alerts, usage reporting, and real-time dashboards for platform health and availability.
• Build and maintain data services, infrastructure, migrations, transformations, and scalable solutions across multiple data platforms.
• Partner with business stakeholders and internal customers to translate analytical needs into technical solutions, improve query performance, and support data-driven decisions.
• Implement AI and Generative AI tools, including code generation, vector databases, embedding pipelines, feature stores, and Retrieval-Augmented Generation workflows.

Requirements

• University or college degree, typically a bachelor’s degree, and 3+ years of relevant or direct industry experience; comparable education, certifications, and experience may be considered in lieu of a degree.
• Strong proficiency in Python, Spark, and Scala, with practical experience in SQL and enterprise database systems such as Oracle or Teradata.
• Strong experience with modern data engineering, big data ecosystems, scalable analytical platforms, and Lakehouse architecture.
• Experience designing, building, maintaining, migrating, and transforming scalable data solutions with attention to accuracy, security, availability, and maintainability.
• Knowledge of machine learning concepts for automation development and familiarity with Azure or AWS data services.
• Experience with Apache Iceberg, Apache Airflow, and Trino is highly valued.
• Ability to contribute to solution design beyond data movement and to translate between technical and non-technical audiences.
• Strong communication, collaboration, problem-solving, critical-thinking, data governance, data modeling, data warehousing, and data architecture skills.
• Must be able to work in an in-office setting. hirify.global will not provide employment visa sponsorship or participate in STEM OPT for this position.

Nice to have

• Experience with dedicated data observability tools such as Monte Carlo or Acceldata, or monitoring stacks such as Datadog, Grafana, or Prometheus.
• Certifications may be desired, although no certification or license is required.

Culture & Benefits

• Inclusive, supportive in-office workplace focused on customer service, risk management, collaboration, and employee contribution.
• Full-time benefits may include medical, dental, vision, life and disability insurance, HSA, 401(k) matching, pension, stock purchase plans, and dependent-care support.
• Educational assistance, wellness programs, financial incentives, adoption, surrogacy, and doula reimbursement may be available depending on eligibility.
• Paid time off may include parental leave, up to 11 holidays, 9 occasional absence days, and 15–25 vacation days depending on career level and tenure.

Hiring process

• Accommodation requests for the application process must include “accommodation request” in the email subject, the applicant’s name, job ID, and preferred contact method.