Senior DataOps Engineer

Scout Motors Inc.

. Contribute to the design, implementation, automation, maintenance, and operational support of enterprise-scale cloud data platforms using Databricks, AWS cloud services, and Infrastructure as Code practices .

Posted 10/21/2026full-timeRemote • United StatesSenior💰 $140,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing enterprise-scale cloud data platforms, with a strong focus on Databricks, AWS services, and data pipeline automation. Proficient in building scalable ETL/ELT solutions and deploying machine learning models to extract actionable insights.

Highest-signal resume keywords

Databricks ImplementationAWS Cloud ServicesPython Data Pipeline DevelopmentInfrastructure as Code (Terraform)Machine Learning Model Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT Pipeline DevelopmentPySparkSpark SQLDelta LakeData ModelingSQLData GovernanceCloud Data Storage SolutionsStreaming ArchitectureData Lakehouse Solutions

Soft Skills

Problem-SolvingEffective CommunicationCollaboration

Tools & Technologies

AWS GlueKinesisFirehoseLucidTalendErwinMySQL WorkbenchDatabricks WorkflowsMonitoring Solutions

Industry Keywords

DataOps EngineerManufacturingAutomotiveCloud PlatformsData Integration Solutions

Tech Stack

Tools & technologies

AWSAzureCassandraCloudDynamoDBETLMySQLPySparkPythonSparkSQLTerraform

About the role

Key responsibilities & impact

Contribute to the design, implementation, automation, maintenance, and operational support of enterprise-scale cloud data platforms using Databricks, AWS cloud services, and Infrastructure as Code practices
Lead the design, development, optimization, and operational management of enterprise-scale ETL/ELT pipelines within Databricks
Build and maintain scalable batch and streaming data pipelines using PySpark, Spark SQL, Delta Lake, and Databricks Workflows
Configure, optimize, and manage Databricks clusters for performance, scalability, reliability, and cost efficiency
Work with software development and systems teams to build data integration solutions
Design and build data models using Lucid, Talend, Erwin, and MySQL Workbench
Define and enhance the enterprise data model
Review application data systems for adherence to data governance policies
Design and build Python ETL/ELT infrastructure, automation, and data transformation solutions
Design and implement BI dashboards to visualize trends and forecasts
Design and implement highly available, reliable, scalable, and performant data infrastructure components
Design, train, and deploy ML models
Implement monitoring solutions to proactively identify and address potential issues
Collaborate with security teams on industry standards and compliance requirements
Collaborate with product managers, developers, and business partners to ensure robust and reliable systems
Convene with Scout colleagues in person and travel to company events from time to time

Requirements

What you’ll need

Bachelor's degree in computer science, information technology, or related field or equivalent work experience
8+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive environment
Experience with streaming and event-based architecture
Experience implementing data lakehouse solutions using Databricks
Experience with infrastructure as code (Terraform)
Proficient in building data pipelines using Python and SQL
Experience with AWS-based data services such as Glue, Kinesis, Firehose, or comparable services
Experience with structured, unstructured, and time series databases
Solid understanding of cloud data storage solutions such as RDS, DynamoDB, DocumentDB, Mongo, Cassandra, and Influx
Several years of experience working with cloud platforms such as AWS and Azure
Proven ability to develop and deploy scalable ML models
Hands-on experience designing, training, and deploying ML models
Strong ability to extract actionable insights using ML techniques
Ability to leverage ML algorithms for forecasting trends and decision-making
Excellent problem-solving and troubleshooting skills
Effective communication and collaboration skills
Applicants must be 18 years of age or older

Benefits

Comp & perks

Competitive medical, dental, vision and income protection insurance plans
401(k) program with employer match and immediate vesting
20 days planned PTO, as accrued
40 hours of unplanned PTO annually
14 company or floating holidays annually
Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
Paid leave for bereavement, jury duty, voting time, or military leave
Competitive compensation supporting physical, mental, and financial wellbeing
Opportunity to build products and a company from the ground up