SRE Data Engineer

Stand8 Technology Consulting; California; Hybrid; USD 76,000 - 90,000; Full time

Benefits offered by this job

Medical coverage via Anthem

Dental/Vision/Ancillary coverage

401(k) retirement plan

Paid time off

Employee Assistance Program (EAP)

Discount programs via ADP WorkforceNow

Job summary

Stand8 Technology Consulting seeks an SRE Data Engineer to help build a new enterprise data environment for a global media and entertainment organization. The role starts with ServiceNow data and expands into analytics, automation, and future AI capabilities.

You will work with Python and SQL in AWS/Snowflake environments, collaborating with engineering and business teams to deploy data pipelines and governance, with occasional onsite work around Los Angeles, New York, New Jersey, Atlanta, and

Qualifications

• 3–5 years building and supporting data engineering, analytics, or integrations.
• Strong Python and SQL, writing and optimizing production code.
• Experience with relational databases or data warehouses and schemas.
• Experience building ETL pipelines for reporting or downstream use.
• Ability to work with APIs and data ingestion processes.
• Understanding of data quality, governance, security, and metadata.
• Experience with version control, automated deployment, and CI/CD.
• Excellent communication and ability to collaborate with stakeholders.
• Ability to learn new platforms quickly across technologies.

Responsibilities

• Establish the data warehouse framework, schemas, and data models.
• Develop, maintain, and optimize Python and SQL data integrations.
• Build ETL pipelines to convert raw data into structured reporting datasets.
• Integrate ServiceNow data into an external data platform with platform teams.
• Support data flow via S3 and Snowflake; evaluate platform options like Snowflake and RDS.
• Configure APIs and integration methods for reliable data movement.
• Create and enhance reporting views and onboard new datasets.
• Implement data quality checks, testing, monitoring, and troubleshooting.
• Investigate production issues and improve performance, reliability, and scalability.
• Apply data governance, security, and metadata management with enterprise teams.
• Collaborate with product, engineering, operations, security, and business stakeholders.
• Contribute to code reviews, deployment automation, and technical documentation.
• Prepare datasets for visualization and future AI workflows.

Skills

Python

SQL

ETL pipelines

Data modeling

Data governance

Communication

Tools

Snowflake

AWS

ServiceNow

RDS

Job description

Stand8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India.

As an SRE Data Engineer, you will help build a new enterprise data environment for a global media and entertainment organization, starting with ServiceNow data and expanding into analytics, automation, and future AI capabilities. You will build the pipelines, models, integrations, and warehouse components that make operational information accessible across the business and support enterprise reporting. This role offers an opportunity to contribute early to technology decisions, work alongside engineering, platform, and business teams, and bring new capabilities into production as adoption grows. The ideal candidate has a strong foundation in Python and SQL and is excited to work with modern enterprise cloud environments, including AWS, Snowflake, and ServiceNow.

Location & Work Type

Location: Must be located within commuting distance (50 miles) of Los Angeles, CA; Miami, FL; New York, NY; or Stamford, CT. Occasional onsite attendance to one of these locations will be required.

Work Type: Hybrid

Key Responsibilities

• Help establish the data warehouse framework, schemas, and data models needed to support enterprise operational reporting and automation.
• Develop, maintain, and optimize production-quality Python and SQL code integrations for data ingestion, transformation, validation, and processing.
• Build extract, transform, and load (ETL) pipelines that convert raw source data into structured reporting tables and reusable datasets.
• Integrate data primarily from ServiceNow into an external data platform, coordinating with source-system and platform teams.
• Support and improve the current data flow through Amazon Simple Storage Service (Amazon S3) and Snowflake.
• Help evaluate platform options, including Snowflake and Amazon Relational Database Service (Amazon RDS), based on business needs and technical constraints.
• Configure and use existing application programming interfaces (APIs) and integration methods to support reliable data movement.
• Create and enhance reporting views, add data elements, and onboard new datasets as stakeholder requirements evolve.
• Implement data quality checks, testing, monitoring, and troubleshooting processes to maintain accurate and dependable data.
• Investigate production issues and improve database performance, pipeline reliability, scalability, and operational efficiency.
• Apply data governance, security, access control, and metadata management practices in collaboration with enterprise teams.
• Collaborate with product, engineering, operations, security, architecture, and business stakeholders to translate requirements into working solutions.
• Contribute to code reviews, reusable engineering patterns, deployment automation, and technical documentation.
• Prepare accessible datasets for visualization and future AI-enabled or agentic workflows, and develop prototypes when needed to validate approaches.

Qualifications

Required:

• Approximately 3-5 years of experience building and supporting data engineering, database, analytics, or integration solutions.
• Strong hands-on Python and Structured Query Language (SQL) skills, including writing, troubleshooting, and optimizing production code.
• Experience designing, building, and maintaining relational databases or data warehouses, including schemas, tables, views, and data models.
• Experience developing ETL pipelines and transforming raw data into reliable datasets for reporting or downstream applications.
• Ability to work with existing APIs, source-system integrations, and data ingestion processes.
• Understanding of data quality, validation, governance, security, and metadata management.
• Experience testing, monitoring, troubleshooting, and supporting production data solutions.
• Familiarity with version control, automated deployment, and collaborative engineering practices.
• Strong analytical and critical-thinking skills, with the ability to evaluate options and recommend practical solutions.
• Excellent communication and collaboration skills, including the ability to discuss requirements and technical decisions with business and engineering stakeholders.
• Ability to learn new platforms quickly and apply established database and programming skills across different technologies.

Preferred (Optional):

• Experience with Snowflake, Databricks, or comparable cloud data warehouse or lakehouse platforms.
• Experience with Amazon Web Services (AWS), particularly Amazon S3 or Amazon RDS; exposure to Microsoft Azure or Google Cloud is also valuable.
• Familiarity with ServiceNow data, reporting, integrations, or Information Technology Service Management (ITSM) processes.
• Experience preparing datasets for Power BI, Streamlit, or similar reporting and visualization tools.
• Exposure to continuous integration and continuous delivery (CI/CD), infrastructure as code, DevOps, observability, or Site Reliability Engineering (SRE).
• Exposure to artificial intelligence and machine learning (AI/ML), generative AI, vector databases, knowledge graphs, or agentic automation.
• Medical coverage and Health Savings Account (HSA) through Anthem
• Dental/Vision/Various Ancillary coverages through Unum
• 401(k) retirement savings plan
• Paid-time-off options
• Company-paid Employee Assistance Program (EAP)
• Discount programs through ADP WorkforceNow

The base range for this contract position is $55 - $65 / per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Qualified applicants with arrest or conviction records will be considered.

About Us

Stand8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. Stand8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees.

Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY.

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