Senior Data Engineer

🕒 October 13

🐊 Florida, Ohio, +1 more states – Remote

🐊 Florida – Remote 🏈 Ohio – Remote 🔔 Pennsylvania – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 17%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Bitful

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎖️ Defense

📦 Logistics

🏥 Healthcare

Defense • Logistics • Healthcare

Bitful is a technology consulting firm that prioritizes human-centric solutions and community impact. The company offers services in cloud infrastructure, data analytics consulting, and custom software design and development, with a focus on creating opportunities and empowering underserved communities. Bitful emphasizes an open vision for data, a profit-sharing model, and maintains strong community involvement by donating part of their profits to technology mentorship programs. They serve various industries, including telecommunications, government, defense, and more, aiming to transform both their clients' businesses and the community.

📋 Description

• Build and maintain data pipelines and datasets supporting reporting, visualization, machine learning and data-driven decision making across finance, sales, supply chain, marketing and other business functions • Develop and maintain scalable data pipelines and reusable datasets within a Databricks lakehouse environment • Ingest, validate, clean and transform structured and unstructured data from multiple sources using Python, PySpark and SQL • Build data models and reporting datasets supporting Tableau and established analytics tools such as Spotfire • Integrate established data warehouse and reporting systems with modern cloud analytics platforms • Improve pipeline reliability, data quality and processing performance • Implement automated testing, monitoring, documentation and CI/CD practices • Partner with analysts, architects, developers and business stakeholders to deliver practical data solutions • Provide technical guidance, review code and mentor other data engineers

🎯 Requirements

• 7+ years of experience in data engineering, including building and supporting production data pipelines • Strong SQL skills and a solid understanding of data modeling, database design and data warehousing • Hands-on experience with Databricks, Apache Spark and cloud data platforms • Strong proficiency in Python and PySpark • Experience developing ETL/ELT pipelines and integrating data from multiple source systems • Experience preparing reliable datasets for Tableau or comparable business intelligence tools • Familiarity with source control, automated testing and CI/CD practices • Ability to troubleshoot complex data issues and optimize pipeline performance • Strong communication skills and experience collaborating with technical teams and business stakeholders • Experience with Spotfire, Oracle, Informatica, R or data virtualization preferred • Databricks certification preferred

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