Mindlance
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in McLean, VA, for 12 months at a competitive pay rate. Key skills include Python, PySpark, SQL, AWS, Azure, GCP, and experience with ETL processes and real-time data integration.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
January 10, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
McLean, VA
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🧠 - Skills detailed
#Big Data #REST (Representational State Transfer) #Kafka (Apache Kafka) #Cloud #Spark SQL #Delta Lake #PySpark #Python #Data Pipeline #Data Quality #Lambda (AWS Lambda) #Azure #Data Engineering #Snowflake #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #Scala
Role description
Job Role: Senior Data Engineer
Location: McLean, VA
Duration: 12 Months
Key Responsibilities:
• Design, build, and maintain scalable, high-performance data pipelines and architecture.
• Develop data models and ETL/ELT processes to ensure data quality and accessibility.
• Collaborate with product and engineering teams to deliver a holistic ecosystem of data and capabilities.
Technical Skills:
• Candidates should possess very strong Data Engineering skills, Experience with the following technologies is essential:
• Big Data Technologies: Python, PySpark, SQL
• Cloud & ETL Tools: Lambda, Glue, Delta Lake, Snowflake, AWS, Azure or GCP
• Real-time Data: Kafka
• Integration: APIs, REST
EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Job Role: Senior Data Engineer
Location: McLean, VA
Duration: 12 Months
Key Responsibilities:
• Design, build, and maintain scalable, high-performance data pipelines and architecture.
• Develop data models and ETL/ELT processes to ensure data quality and accessibility.
• Collaborate with product and engineering teams to deliver a holistic ecosystem of data and capabilities.
Technical Skills:
• Candidates should possess very strong Data Engineering skills, Experience with the following technologies is essential:
• Big Data Technologies: Python, PySpark, SQL
• Cloud & ETL Tools: Lambda, Glue, Delta Lake, Snowflake, AWS, Azure or GCP
• Real-time Data: Kafka
• Integration: APIs, REST
EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
