Data Engineer II positions focus on delivering results in their domain. This page aggregates open Data Engineer II roles and what employers typically expect.
At PDI Technologies, we empower some of the world's leading convenience retail and petroleum brands with cutting-edge technology solutions that drive growth and operational efficiency. By “Connecting Convenience” across the globe, we empower businesses to increase productivity, make more informed decisions, and engage faster with customers through loyalty programs, shopper insights, and unmatched real-time market intelligence via mobile applications, such as GasBuddy. We’re a global team committed to excellence, collaboration, and driving real impact. Explore our opportunities and become part of a company that values diversity, integrity, and growth. Role Overview: As a Data Engineer II, you will design, develop, and support scalable cloud-based data pipelines that enable analytics, reporting, and business intelligence across the organization. Working within AWS-native technologies, you will integrate enterprise applications into centralized data platforms while ensuring data quality, reliability, and performance. You will collaborate with business stakeholders and technical teams to translate reporting requirements into scalable data solutions that support informed business decisions.
Salary estimate
$111,000 – $150,000/yr
Provided by the employer.
Skills for this role
AWS
Resume tips for Data Engineer II applicants
Lead with measurable achievements relevant to Data Engineer II (numbers, scope, impact).
Mirror the exact keywords from the Data Engineer II posting so applicant tracking systems rank you higher.
List the specific tools and skills the role names (e.g. Python, SQL, AWS, Airflow).
Keep it to one page for early-career, two pages for senior Data Engineer II candidates.
Interview preparation
Prepare concrete STAR-format stories that show Data Engineer II outcomes you drove.
Research the employer's product and recent news before the interview.
Be ready to explain how you'd approach a typical Data Engineer II problem end to end.
Have thoughtful questions ready about the team, tools and success metrics.
About pditechnologies
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