Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Arlington, VA, on a 6-month contract with a pay rate of "unknown." Key skills include Spark, Hadoop, Databricks, Python, and SQL. Candidates should have 5+ years of full-stack engineering experience.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 28, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Arlington, VA
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🧠 - Skills detailed
#Agile #Python #TypeScript #Airflow #React #SQL Server #ML (Machine Learning) #Java #Spark (Apache Spark) #Databricks #C# #.Net #Data Management #Monitoring #Computer Science #Statistics #Data Engineering #SQL (Structured Query Language) #Hadoop #Spring Boot #Impala #Data Processing #Data Ingestion #Scala #Big Data #NiFi (Apache NiFi)
Role description
Hello There, My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Senior Data Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com . Job Description Position : Senior Data Engineer Location : Arlington, VA Hybrid (Need local candidates only within 30-40 miles) Duration : 6 months contract with possible extension Interview : 2nd round will be onsite β€’ Must complete a Glider test β€’ Must Have β€’ Spark (advance/expert), Hadoop platform & tools (Hive, Impala, Nifi, Oozie, Scoop) β€’ Databricks β€’ Python, SQL Ideal Candidate Qualifications β€’ 5+ years of full stack engineering experience in an agile production environment β€’ Experience leading the design and implementation of large, complex features in full-stack applications β€’ Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it β€’ Experience leveraging open-source tools, predictive analytics, machine learning, Advanced Statistics, and other data techniques to perform analyses β€’ High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms β€’ Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting β€’ Experience coaching and mentoring junior teammates β€’ Experience leading a large technical effort that spans multiple people and teams β€’ Proficiency with Java/Spring Boot, .NET/C#, React, Redux, Typescript, and SQL Server or other object-oriented languages, front-end frameworks, and/or relational database technologies β€’ Strong technologist with proven track record of learning new technologies and frameworks β€’ Customer-centric development approach β€’ Passion for analytical / quantitative problem solving β€’ Experience identifying and implementing technical improvements to development processes β€’ Collaboration skills with experience working with people across roles and geographies β€’ Motivation, creativity, self-direction, and desire to thrive on small project teams β€’ Superior academic record with a degree in Computer Science or related technical field β€’ Strong written and verbal English communication skills