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inroads

Manager I, Analytics Engineering

inroads

. Design and orchestrate data workflows using log monitoring, data warehouse, cloud, and API technologies .

Posted 10/16/2026full-timeRemote • United StatesMid-LevelSenior💰 $85,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and orchestrating data workflows using cloud and API technologies, with advanced proficiency in SQL, Python, or R for data manipulation. Capable of collaborating across disciplines to ensure accurate reporting and implementing workflow efficiencies aligned with client priorities.

Highest-signal resume keywords
Data Workflow DesignSQL ProficiencyDatabricks ExperienceCustomer Journey MappingFederal Public Trust Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLPythonRData AnalysisData ProcessingData ModelingWorkflow EfficiencyReportingData ManipulationAnalytics Workflows
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
DatabricksSnowflakeRedshiftBigQueryAPI TechnologiesCloud TechnologiesData Warehousing Software
Certifications & Qualifications
Federal Public Trust Security Clearance
Industry Keywords
Consumer-Facing Web ApplicationGovernment ClientHigh-Volume Data

Tech Stack

Tools & technologies
Amazon RedshiftBigQueryCloudPythonSQL

About the role

Key responsibilities & impact
  • Design and orchestrate data workflows using log monitoring, data warehouse, cloud, and API technologies
  • Support a high-profile service relied on annually by millions of Americans
  • Collaborate across disciplines to achieve accurate, streamlined reporting for a government client
  • Develop repeatable data workflows between cloud and on-premises environments, landing in Databricks for Power BI reporting access
  • Implement workflow efficiencies aligned with new features and program components as client priorities change
  • Collaborate with technical teams to investigate discrepancies and modify the data model for consistent cross-team reporting

Requirements

What you’ll need
  • An undergraduate degree plus 4+ years of progressive experience analyzing data or supporting analytics workflows; or 6+ years of highly relevant experience without an undergraduate degree
  • Foundational understanding of customer journey mapping for a high-volume consumer-facing web application
  • Experience working with production program data in Databricks, Snowflake, Redshift, BigQuery, or another data warehousing software
  • Comfortable providing your technical perspective during solutioning sessions to meet data processing, reporting, or other analytics goals
  • Track record of deriving data processing requirements from product designs, business goals, and other big-picture or less technical guidelines
  • Advanced proficiency using SQL, Python, or R to inspect and manipulate datasets
  • Ability to successfully attain and maintain a Federal Public Trust security clearance
  • U.S. citizenship is required

Benefits

Comp & perks
  • Premier health, dental, and vision insurance plans
  • 401K matching
  • Unlimited paid time off
  • Paid personal and volunteer leave
  • 13 paid holidays
  • 15 weeks paid parental leave
  • Professional development stipend & tuition reimbursement
  • MacBook Pro laptop & tech accessories
  • Bring Your Own Device (BYOD) stipend for mobile device
  • Employee Assistance Program (EAP)
  • Supportive & collaborative culture
  • Flexible working hours
  • Pre-tax transportation options for commuting to our office in Washington, DC
  • Lunches and snacks