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Data Engineer

This role is for a Data Engineer with 7+ years of AWS experience, 5+ years in Python and SQL, and familiarity with Big Data technologies. Contract duration is 12+ months, located in Plano, TX or Reston, VA, with a pay rate of $45-$50/hr.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
400
🗓️ - Date discovered
February 12, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Plano, TX
🧠 - Skills detailed
#Athena #Redshift #Batch #Big Data #Oracle #RDS (Amazon Relational Database Service) #Scala #Cloud #Data Engineering #Scrum #Programming #Agile #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #Data Modeling #Databases #Debugging #Kanban #Hadoop #SNS (Simple Notification Service) #AWS S3 (Amazon Simple Storage Service) #MySQL #MongoDB #Security #Informatica #Data Mining #Lambda (AWS Lambda) #AWS EMR (Amazon Elastic MapReduce) #Web Services #PySpark #Python #EC2 #Spark (Apache Spark) #Aurora #ML (Machine Learning)
Role description
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BCforward is currently seeking a highly motivated Data Engineer for a hybrid opportunity in Plano, TX or Reston, VA!

Position Title: Data Engineer

Location: Plano, TX or Reston, VA

Anticipated Start Date: 02/24

Please note this is the target date and is subject to change. BCforward will send official notice ahead of a confirmed start date.

Expected Duration: 12+ months contract + Renewable

Job Type: [FULL TIME (>=40 HRS WEEKLY) [CONTRACT], [HYBRID]

Pay Range: $45 - $50/hr only on W2

Please note that actual compensation may vary within this range due to factors such as location, experience, and job responsibilities, and does not encompass additional non-standard compensation (e.g., benefits, paid time off, per diem, etc.).

Minimum Required Experiences:
• 7+ years of recent experience with building and deploying applications in AWS (S3, Hive, Glue, AWS Batch, Dynamo DB, Redshift, AWS EMR,Cloudwatch, RDS, Lambda, SNS, SWS etc.)
• 5+ years of Python, SQL, SparkSQL, PySpark
• Ability to work independently as well as part of an agile team (Scrum / Kanban)
• Identify customer needs and intended use of requested data in the development of database requirements and support the planning and engineering of enterprise databases.
• Maintain comprehensive knowledge of database technologies, complex coding languages, and computer system skills.
• Support the integration of data into readily available formats while maintaining existing structures and govern their use according to business requirements.
• Analyze new data sources and monitor the performance, scalability, and security of data.
• Create an initial analysis and deliver the user interface (UI) to the customer to enable further analysis.
• 4+ years’ experience with Big Data Hadoop clusters, AWS, and Python
• Knowledge of Spark streaming technologies
• Experience in working with agile development teams
• Familiarity with Hadoop / Spark information architecture, Data Modeling, Machine Learning (ML)
• Knowledge of Environmental, Social, and Corporate Governance (ESG)

Skills
• Skilled in cloud technologies and cloud computing
• Programming including coding, debugging, and using relevant programming languages
• Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
• Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
• Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica
• Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere
• Working with people with different functional expertise respectfully and cooperatively to work toward a common goal
• Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.

Tools
• Skilled in AWS Analytics such as Athena, EMR, or Glue
• Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora
• Skilled in SQL
• Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS
• Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
• Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager
• Skilled in Python object-oriented programming

Benefits:

BCforward offers all eligible employees a comprehensive benefits package including, but not limited to major medical, HSA, dental, vision, employer-provided group life, voluntary life insurance, short-term disability, long-term disability, and 401k.

Keywords:

Data Engineer, AWS, Python