Data Engineer - Business Intelligence jobs in United States
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Strider Technologies · 1 month ago

Data Engineer - Business Intelligence

Strider Technologies is a leading strategic intelligence company focused on delivering insights for better decision-making. The Data Engineer will design, implement, and scale the company's first internal data platform, establishing core data infrastructure and supporting analytics and business intelligence initiatives.

Artificial Intelligence (AI)Big DataCyber SecurityProductivity ToolsSoftware

Responsibilities

Design, implement, and maintain scalable data pipelines (ETL/ELT) in a modern cloud data warehouse (e.g., Databricks, Snowflake, BigQuery, or Redshift)
Ingest, transform, and integrate internal system data (e.g., CRM, product, finance) and external vendor datasets
Prepare and process structured and unstructured data to support analytics, business intelligence, and automation use cases
Model and optimize datasets using Lakehouse or warehouse-based architectures for downstream consumption
Collaborate closely with analysts and cross-functional partners to build production-grade data assets
Champion and implement best practices for data quality, observability, and lineage
Partner with cloud infrastructure teams (AWS, Azure, or GCP) to ensure scalable, secure, and cost-efficient systems
Explore and deploy AI-enabled automation tools and workflows across the business
Advocate for productivity-boosting technologies such as ChatGPT, Copilot, Cursor, and dbt-assist
Help document standards, develop reusable components, and mentor junior data engineers

Qualification

Data engineeringSQLPythonCloud data warehousesData warehousing conceptsAI-assisted development toolsModern data stack toolsCollaborationMentoringFast-paced environment

Required

5+ years of experience in data engineering or analytics engineering roles
Strong proficiency with SQL and Python (or Scala)
Hands-on experience with modern cloud data warehouses (Databricks, Snowflake, BigQuery, or Redshift)
Familiarity with tools in the modern data stack (e.g., dbt, Airflow, Fivetran, Dagster)
Proven ability to manage and transform large, complex datasets across structured and unstructured formats
Solid understanding of data warehousing concepts, dimensional modeling, and Git-based version control
Experience leveraging AI-assisted development tools and enthusiasm for scaling their use internally
Comfortable working in fast-paced environments and collaborating across technical and non-technical teams

Benefits

Competitive Compensation
Company Equity Options
Flexible PTO
Wellness Reimbursement
US Holidays (Office Closed)
Paid Parental Leave
Comprehensive Medical, Dental, and Vision Insurance
401(k) Plan

Company

Strider Technologies

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Strider is a strategic intelligence firm that utilizes artificial intelligence to convert publicly available data into actionable insights.

Funding

Current Stage
Growth Stage
Total Funding
$112M
Key Investors
Pelion Venture PartnersValor Equity PartnersKoch Disruptive Technologies
2024-09-12Series C· $55M
2022-04-27Series B· $45M
2020-10-27Series A· $10M

Leadership Team

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Greg Levesque
CEO & Co-Founder
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Michael Brown
Co-Founder & CDO
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Company data provided by crunchbase