Data Engineer

Payrate: $61.00 - $62.00/hr. Position Contributions to Work Group: • Perform all necessary data related tasks which could include data design, data quality, data triage, data governance or data architecture - SQL, Snowflake, AWS • Develop a break/fix solution and address the root cause in the data pipeline implementation/code - Python, AWS • Develop scripts and automation tools to better detect and correct data issues. • Develop monitoring and alerting capabilities to proactively detect data issues • Works directly on complex application/technical problem identification and resolution, including responding to off-shift and weekend support calls. Typical task breakdown: • Identify, investigate, and obtain resolution commitments for platform and data issues to maintain and improve the quality and performance of assigned digital product data. • Issue Identification: Reports in all forms from customers, dealers, industry representatives, and subsidiaries. • Issue Investigation: Statistical analysis, data triage, and infrastructure problem-solving. • Issue Resolution: Identify root causes, create SageMaker scripts to fix data, and perform break/fix tasks on data pipeline code. • Develop scripts and automation tools to better detect and correct data issues. • Develop monitoring and alerting capabilities to proactively detect data issues. • Work directly on complex application and technical problem identification and resolution, including responding to off-shift and weekend support calls. • Communicate with end users and internal customers to help direct the development, debugging, and testing of application software for accuracy, integrity, interoperability, and completeness. • Employees are also responsible for performing other job duties as assigned by management from time to time. Education & Experience Required: • A 4-year degree and/or master’s degree from an accredited college or university or equivalent experience • 5-7 years’ experience in data management or data engineering or data operations (data design, data quality, metadata, governance, etc.) Technical Skills: • 5-7 years’ experience in data management or data engineering or data operations (data design, data quality, metadata, governance, etc.) • Experience with development and delivery of microservices using serverless AWS services (S3, RDS, Aurora, DynamoDB, Lambda, SNS, SQS, Kinesis, IAM) • 4 years or more of experience in a Cloud environment (AWS, Snowflake) • Strong SQL and Python • Strong AWS experience, including SageMaker, S3, RDS, Cloudwatch and related services • Strong Snowflake experience • Strong SQL, Python development skillset • Understanding of logical data Domains, primarily Customer & Equipment Domains • Experience in Data Operations, Tier 2 Support, or comparable Data Engineering Support role • Strong knowledge of end-to-end data lifecycles across traditional data warehouses, relational databases, operational data stores, business intelligence reporting, and big data analytics. • Knowledge of data technology products and components for Big Data and Cloud (AWS, Data Lakes, and similar). • Ability to work collaboratively in a complex, rapidly changing, and culturally diverse environment. Soft Skills: • Verbal and written communication skills. Ability to clearly communicate complex technical ideas • Problem solving skills, customer service and interpersonal skills • Ability to work collaboratively in a complex, rapidly changing, and culturally diverse environment Pay Transparency: The typical base pay for this role across the U.S. is: $61.00 - $62.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, denmatch, lifeion benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match,  life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. 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