ClearanceJobs
TTG-34 - Data Engineer - $308,700 Total Compensation
ClearanceJobs, Chantilly, Virginia, United States, 22021
Data Engineer Opportunity
TTG Solutions is seeking an experienced Data Engineer with a strong background in data lifecycle management and ETL tool development. We are looking for a candidate who excels in data engineering programming and is comfortable working with both cloud and on-prem environments. Develop new tools, code, and services for data engineering activities involving diverse data types and conditions, including structured and unstructured data movement. Perform data ingestion for storage at local or enterprise levels and develop code to format data for exploration. Collaborate with Data Scientists and partners to analyze source data formats and develop necessary transforms. Create code and tools for data extraction, formatting, and transformation into enterprise or standalone data models. Design and optimize data pipelines using tools like Spark, Apache Iceberg, Trino, OpenSearch, EMR cloud services, NiFi, and Kubernetes containers. Maintain data pedigree and provenance while collaborating with various teams to enhance data standards and ensure data quality. Experience Level: Senior. 3 years of unrelated experience = 1 year of related experience. Bachelors preferred. Master's degree = 1 year of additional related experience. 3 certifications and/or other applicable credentials = 1 year of additional related experience. Requirements: 8-11 years experience. Required Skills: 10+ years experience in data lifecycle engineering Development and maintenance of ETL tools and services Cloud and on-prem data storage and processing solutions Proficiency in Python, SQL, Spark, and other data engineering programming languages Experience with COTS and open source data engineering tools such as ElasticSearch and NiFi Experience processing data within the Agile Lifecycle Optional Skills: Experience with advanced analytics data preprocessing Experience collaborating with enterprise working groups on data standards Experience adapting to various data types and processing platforms Clearance: This position requires an active TS/SCI clearance with Polygraph. Benefits: Base Salary: $185,000 - $224,000 PTO: 30 days annual PTO, which includes holidays. Retirement: 15% company retirement contribution. No match required. Vesting period is 50% per year over 2 years. Paid Benefits: Company pays all insurance expenses up to 8% of base pay. If your insurance expenses are less that that, we bonus the difference to you. Annual Bonuses: 3% to 5% annual bonuses. Cell Phone Stipend: $100 monthly phone expense reimbursement. Training Budget: 3 paid training days + $2,500 training budget. New Hire Bonus: $5,000 new hire bonus. Total Compensation: $308,700 Total compensation is the total combination of salary, benefits, retirement, bonuses, etc... and it is calculated using the following formula: Total Compensation = Base Salary + Benefits Budget + Retirement + Bonus + Training Budget + Phone Stipend. Although each company has their own blend of salary and benefits, comparing total compensation is typically the best way to compare the financial impact of each position. At TTG Solutions, we work hard to ensure our particular blend always meets or exceeds the market average.
TTG Solutions is seeking an experienced Data Engineer with a strong background in data lifecycle management and ETL tool development. We are looking for a candidate who excels in data engineering programming and is comfortable working with both cloud and on-prem environments. Develop new tools, code, and services for data engineering activities involving diverse data types and conditions, including structured and unstructured data movement. Perform data ingestion for storage at local or enterprise levels and develop code to format data for exploration. Collaborate with Data Scientists and partners to analyze source data formats and develop necessary transforms. Create code and tools for data extraction, formatting, and transformation into enterprise or standalone data models. Design and optimize data pipelines using tools like Spark, Apache Iceberg, Trino, OpenSearch, EMR cloud services, NiFi, and Kubernetes containers. Maintain data pedigree and provenance while collaborating with various teams to enhance data standards and ensure data quality. Experience Level: Senior. 3 years of unrelated experience = 1 year of related experience. Bachelors preferred. Master's degree = 1 year of additional related experience. 3 certifications and/or other applicable credentials = 1 year of additional related experience. Requirements: 8-11 years experience. Required Skills: 10+ years experience in data lifecycle engineering Development and maintenance of ETL tools and services Cloud and on-prem data storage and processing solutions Proficiency in Python, SQL, Spark, and other data engineering programming languages Experience with COTS and open source data engineering tools such as ElasticSearch and NiFi Experience processing data within the Agile Lifecycle Optional Skills: Experience with advanced analytics data preprocessing Experience collaborating with enterprise working groups on data standards Experience adapting to various data types and processing platforms Clearance: This position requires an active TS/SCI clearance with Polygraph. Benefits: Base Salary: $185,000 - $224,000 PTO: 30 days annual PTO, which includes holidays. Retirement: 15% company retirement contribution. No match required. Vesting period is 50% per year over 2 years. Paid Benefits: Company pays all insurance expenses up to 8% of base pay. If your insurance expenses are less that that, we bonus the difference to you. Annual Bonuses: 3% to 5% annual bonuses. Cell Phone Stipend: $100 monthly phone expense reimbursement. Training Budget: 3 paid training days + $2,500 training budget. New Hire Bonus: $5,000 new hire bonus. Total Compensation: $308,700 Total compensation is the total combination of salary, benefits, retirement, bonuses, etc... and it is calculated using the following formula: Total Compensation = Base Salary + Benefits Budget + Retirement + Bonus + Training Budget + Phone Stipend. Although each company has their own blend of salary and benefits, comparing total compensation is typically the best way to compare the financial impact of each position. At TTG Solutions, we work hard to ensure our particular blend always meets or exceeds the market average.