Why This Role Stands Out
This remote Power BI Engineer role at APN Consulting Inc. offers a fantastic opportunity to leverage your extensive data engineering and Power BI expertise within a growing, innovative IT services company. You'll thrive here if you possess strong Python, SQL, and large-scale data processing skills and are eager to contribute to impactful technology solutions. Apply today to join a forward-thinking team and advance your career!
Quick Overview
Seniority
Mid Senior
Work mode
Remote
Location
Philadelphia, PA, United States
Posted
19 hours ago
SQLAWSETLApacheApache SparkAzureGoogle CloudPower BIPython
Job Description
APN Consulting, Inc. is a progressive IT staffing and services company offering innovative business solutions to improve client business outcomes. We focus on high impact technology solutions in ServiceNow, Fullstack, Cloud & Data, and AI / ML. Due to our globally expanding service offerings we are seeking top-talent to join our teams and grow with us.
Job Type: Power BI Engineer
Location: REMOTE (USA)
Job Type: Contract
Required Skills:
Preferred Qualifications:
We are committed to fostering a diverse, inclusive, and equitable workplace where individuals from all backgrounds feel valued and empowered to contribute their unique perspectives. We strongly encourage applications from candidates of all genders, races, ethnicities, abilities, and experiences to join our team and help us build a culture of belonging.
Job Type: Power BI Engineer
Location: REMOTE (USA)
Job Type: Contract
Required Skills:
- Minimum 8+ years of experience in Data Engineering, Analytics, or related data platform development.
- Strong Power BI experience – Modelling, dashboard creation, Self-serve
- Strong proficiency in Python and SQL.
- Excellent analytical and problem-solving skills.
- Hands-on experience with Apache Spark and large-scale data processing.
- Experience working with at least one major cloud platform (AWS, Azure, or Google Cloud Platform).
- Experience with Microsoft Fabric is a strong advantage.
- Added advantage – Manufacturing experience.
Preferred Qualifications:
- Experience building and optimizing data pipelines and ETL/ELT processes.
- Familiarity with modern data lakehouse architectures and cloud-based analytics solutions.
- Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
We are committed to fostering a diverse, inclusive, and equitable workplace where individuals from all backgrounds feel valued and empowered to contribute their unique perspectives. We strongly encourage applications from candidates of all genders, races, ethnicities, abilities, and experiences to join our team and help us build a culture of belonging.
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