
B2B • HR Tech • Recruitment
xcelForce is a strategic talent partner specializing in flexible staffing solutions to help organizations build high-performing teams. They prioritize understanding the unique needs of employers and custom-match skilled professionals to drive business results. With a focus on technology, finance, and government sectors, xcelForce offers services like direct hire, contract-to-hire, and flexible staffing, ensuring that companies can scale their workforce efficiently without long-term commitments.
February 4

B2B • HR Tech • Recruitment
xcelForce is a strategic talent partner specializing in flexible staffing solutions to help organizations build high-performing teams. They prioritize understanding the unique needs of employers and custom-match skilled professionals to drive business results. With a focus on technology, finance, and government sectors, xcelForce offers services like direct hire, contract-to-hire, and flexible staffing, ensuring that companies can scale their workforce efficiently without long-term commitments.
• This is a remote position. • As an active working leader, you will play a pivotal role in our team, responsible for tactically identifying and optimizing performance issues within a globally distributed big data environment. • Your expertise will drive performance enhancements across a multitude of use cases, involving the analysis of data and metadata. • You will excel at identifying patterns within underperforming queries and common support challenges, contributing to the overall efficiency of our systems. • Collaboration will be key as you engage with both onshore and offshore teams, working together to achieve shared goals. • Guiding and mentoring junior practitioners to cultivate advanced skills will be a cornerstone of your role. • You will be at the forefront of evaluating emerging data frameworks, continuously expanding our team's capabilities. • Developing training modules and refining processes will be second nature to you, fostering enduring improvements in performance. • You will be an agent of change, grounded in data insights, as you create, present, and drive impactful modifications that cover aspects like cost and performance.
• A decade or more of practical experience is essential, specifically within large enterprise environments. • Experience with FAANG companies is a notable advantage. • Possession of a post-secondary education, preferably a master's degree, ideally with a background in Mathematics or a related field. • Demonstrated success in roles as a practitioner, leader, mentor, and trainer is a must. • Your track record should include the construction and maintenance of data pipelines and dashboards. • Proven ability in developing data ingestion processes for real-time analysis from diverse streaming data sources is expected. • Your personal contributions should have led to measured optimizations resulting in tangible cost savings.
• PTO • Vacation • Holidays • Medical, Dental & Vision Insurance • 401k • and much more!
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🗣️đź‡đź‡ş Hungarian Required
ETL
Python
SQL
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AWS
Azure
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Google Cloud Platform
Hadoop
Node.js
Numpy
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Spark
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🇺🇸 United States – Remote
đź’µ $170k - $720k / year
đź’° $20M Post-IPO Equity on 2022-01
⏰ Full Time
🟡 Mid-level
đźź Senior
đźš° Data Engineer
🦅 H1B Visa Sponsor
Distributed Systems
GRPC
Java
Scala
Spark
Spring
SQL
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🇺🇸 United States – Remote
đź’µ $170k - $720k / year
đź’° $20M Post-IPO Equity on 2022-01
⏰ Full Time
đźź Senior
đź”´ Lead
đźš° Data Engineer
🦅 H1B Visa Sponsor
ETL
Java
Kafka
Python
Scala
Spark
SQL
January 6
Develop distributed data systems and products to enhance customer experience at Netflix.
🇺🇸 United States – Remote
đź’µ $170k - $720k / year
đź’° $20M Post-IPO Equity on 2022-01
⏰ Full Time
🟡 Mid-level
đźź Senior
đźš° Data Engineer
🦅 H1B Visa Sponsor
Distributed Systems
GRPC
Java
Scala
Spark
Spring
SQL