Senior DataOps Engineer

Description

• Implement monitoring solutions to proactively identify and address potential issues.
• Define and enhance enterprise data model to reflect relationships and dependencies.
• Design and build Data models using tools such as Lucid, Talend, Erwin, MySQL workbench.
• Work closely with software development and systems teams to build Data Integration solutions.
• Design and implement data infrastructure components, ensuring high availability, reliability, scalability, and performance.
• Collaborate with security teams to ensure the data platform meets industry standards and compliance requirements.
• Design and Implement BI dashboards to visualize Trends and Forecasts.
• Collaborate with cross-functional teams, including product managers, developers, and business partners to ensure robust and reliable systems.
• Contribute to the design, implementation, and maintenance of the overall cloud infrastructure data platform using modern IaC (Infrastructure as Code) practices.
• Design and build ETL (Python), ELT(Python) infrastructure, automation, and solutions to transform data as required.
• Review application data systems to ensure adherence to data governance policies.
• Design, train and deploy ML models

Requirements

• Excellent problem-solving and troubleshooting skills. When a problem occurs, you run towards it not away.
• Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records.
• Several years of experience working with cloud platforms such as AWS and Azure.
• Experience with infrastructure as code (Terraform).
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.
• Ability to leverage ML algorithms for forecasting trends and decision-making
• Residing in New York City: This role is not eligible for remote work in New York City.
• Solid understanding of cloud data storage solutions such as RDS, DynamoDB, DocumentDB, Mongo, Cassandra, Influx.
• Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options.
• Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance.
• Proficient in building data pipelines using languages such as Python and SQL.
• 7+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive environment.
• Experience with streaming and event-based architecture.
• Experience with Structured, unstructured and time series databases.
• Experience implementing data lakehouse solutions using Databricks.
• Proven ability to develop and deploy scalable ML models.
• Experience with AWS based data services such as Glue, Kinesis, Firehose or other comparable services.
• Hands-on experience in designing, training, and deploying ML models
• Strong ability to extract actionable insights using ML techniques
• Bachelor's degree in computer science, information technology, or related field or equivalent work experience.
• The responsibilities of this role require 4-5 days attendance in office with in-person meetings and events regularly.
• This role will be based out of the Scout Motors corporate headquarters in Charlotte, NC. This role may be remote to start but will transition to an in-office setting at the headquarters within 6 months of start date. This role is not eligible for remote work in New York City.

Benefits

• Generous Paid Time Off including:
• Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave
• Competitive insurance including:
• Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
• Medical, dental, vision and income protection plans
• 401(k) program with:
• 20 days planned PTO, as accrued
• 40 hours of unplanned PTO and 14 company or floating holidays, annually

Training + Development

Interview process

Visa Sponsorship

Security clearance