{"id":3513941,"url":"https://alion.io/job/strategic-staffing-solutions-data-engineer-2","title":"Data Engineer","company":{"id":2027987,"name":"Strategic Staffing Solutions","domain":"strategicstaff.com","url":"https://alion.io/company/strategicstaff","size_band":"5000+","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":78,"open_postings":9,"ghost_share":0,"stale_share":0.889,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Charlotte, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":89000,"max_usd":193000,"period":"year","method":"role_country_seniority_unknown","sample_n":3718},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Agile","optional":true},{"name":"Boto3","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-10-28T00:00:00Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-03T21:43:08Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Strategic Staffing Solutions is currently looking for a Data engineer, for a W-2 contract opportunity.\nData Engineer\nLocation:Charlotte, NC,28206\nType: W-2 Contract (NO C2C)\nContract: 12 months\nSchedule: Hybrid\nThis is a W-2 contract opportunity, and candidates must be able to work on our W-2 only. NO C2C or 1099.\nPosition Overview\nRequired Technical Skills\nPython: Advanced proficiency in Python 3.8+ for data processing, scripting, and automation\nPySpark: Extensive experience with PySpark for large-scale data processing and transformations on EMR clusters\nAWS Lambda: Hands-on experience building serverless functions for data processing and orchestration\nAWS Glue: Expertise in AWS Glue for ETL jobs, Data Catalog management.\nAmazon Athena: Experience with Athena for SQL-based data analysis and querying data lakes\nAmazon EMR: Strong experience with EMR for running Spark jobs, EMR Notebooks, and cluster management\nAmazon Redshift: Knowledge of Redshift for data warehousing, query optimization, and integration with data lakes\nKafka: Experience with Confluent Kafka for real-time data streaming, including Schema Registry, source/sink connectors, and producers/consumers\nAmazon S3: Deep understanding of S3 for data lake architecture, bucket policies, and data organization (raw, curated layers)\nCloudWatch: Proficiency in CloudWatch for logging, monitoring, and alerting on data pipelines\nTerraform: Experience with Infrastructure as Code using Terraform for provisioning AWS resources\nKey Responsibilities\nDesign, develop, and maintain scalable ETL pipelines using AWS Glue, EMR (PySpark), and Lambda functions\nImplement real-time data streaming solutions using Confluent Kafka with source and sink connectors\nDevelop and optimize PySpark jobs on EMR clusters for large-scale data transformations\nBuild serverless data processing workflows using AWS Lambda\nDesign and optimize queries in Amazon Athena for analytical workloads\nManage data warehouse solutions in Amazon Redshift including data modeling and performance tuning\nImplement monitoring and alerting using CloudWatch for data pipeline health and performance\nProvision and manage AWS infrastructure using Terraform\nCollaborate with data analysts, data scientists, and business stakeholders to understand data requirements\nImplement data governance and security best practices using Lake Formation, IAM, and KMS\nAdditional Technical Experience\nKnowledge of AWS EventBridge and Step Functions for workflow orchestration\nFamiliarity with EMR runtime roles and execution roles for secure data access\nExperience with DynamoDB for NoSQL data storage\nKnowledge of API Gateway for building data APIs\nPreferred Qualifications\nBachelor's degree in Computer Science, Data Engineering, Information Technology, or related field\nStrong understanding of distributed computing and big data processing frameworks\nExperience with Agile development methodologies\nExcellent problem-solving and analytical skills\nStrong communication and collaboration abilities\nDevelopment and Data Tools\nEMR Notebooks or Jupyter for interactive development\nVS Code or similar IDE for Python development\nGit for version control\nAWS CLI and boto3 for AWS service interaction\nTerraform for infrastructure provisioning\nDBeaver, Data Studio for database management\n “ Beware of scams. 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