Apache Superset

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Today

Business Intelligence Analyst / Data Engineer

GEICO Bethesda, MD

Bethesda, MD

Today

$91k - $172k/yr Full time Apache Superset Business Intelligence Data Analytics

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Job Description

GEICO is hiring a Business Intelligence Analyst III/IV to design and deliver enterprise business intelligence and visual analytics solutions, primarily with Microsoft Power BI.

Responsibilities

Design end-to-end BI solutions, including semantic and metric layers, dimensional data models, reports, dashboards, scorecards, and visual analytics products.
Develop, maintain, and optimize Power BI semantic models, reports, and dashboards using DAX and Power Query, following enterprise reporting standards.
Apply advanced analytical and statistical techniques to uncover trends, performance drivers, customer behaviors, and opportunities for operational improvement.
Convert descriptive reporting into diagnostic insight, and introduce predictive approaches when aligned to the business question and available data.
Partner with stakeholders to frame analytical questions, evaluate findings, and translate complex analysis into clear recommendations.
Establish and document semantic modeling standards, reusable design patterns, visualization standards, and reporting best practices.
Support report certification by validating solution quality, consistency, usability, maintainability, performance, documentation, and adherence to standards.
Publish and support Power BI solutions via Power BI Service using Workspaces, Apps, Deployment Pipelines, and semantic model refresh processes.
Optimize report and semantic model performance, refresh reliability, storage-mode selection, and end-user experience across BI platforms.
Assess downstream impacts of design choices involving Import, DirectQuery, composite models, Row-Level Security, refresh strategies, and Power BI capacity.
Evaluate visualization technologies and select appropriate tooling such as Power BI or Apache Superset based on business need, scalability, maintainability, and user experience.
Use Snowflake and other approved enterprise data sources to deliver reliable, scalable reporting and analytics.
Coordinate with data engineering and technology partners to ensure data sources are available, reliable, understandable, and usable for reporting.
Document report definitions, calculations, assumptions, semantic models, technical designs, and support procedures.
Lead improvements to reporting processes, including automation of recurring outputs and reduction of manual effort.
Support report migration and modernization, including converting legacy reporting solutions to modern BI platforms and reusable semantic model architectures.
Perform testing, validation, deployment, troubleshooting, root cause analysis, performance tuning, and post-implementation support.
Participate in agile planning, backlog refinement, estimation, status reporting, and cross-functional delivery coordination.
Provide technical guidance through design, DAX, query, and solution reviews.

Requirements

Advanced experience designing, developing, deploying, and supporting business intelligence solutions using Microsoft Power BI or comparable enterprise visualization platforms.
Strong proficiency with DAX, semantic modeling, dimensional modeling, Power Query, data visualization, and enterprise BI architecture.
Experience publishing and supporting Power BI solutions through Workspaces, Apps, Deployment Pipelines, and semantic model refresh processes.
Advanced SQL knowledge, including writing, troubleshooting, and optimizing complex queries for reporting and analytics.
Ability to translate complex technical and analytical concepts for both technical and non-technical audiences.
Strong analytical, quantitative, problem-solving, organizational, communication, and interpersonal skills.
Ability to work independently and collaboratively in an agile delivery environment.
Ability to manage multiple priorities and deliver reliable solutions with minimal guidance.
Business Intelligence Analyst III: 4-7 years of relevant business intelligence, analytics, reporting, semantic modeling, or data visualization experience.
Business Intelligence Analyst IV: 7-10 years of relevant business intelligence, analytics, reporting, semantic modeling, or data visualization experience.
Experience developing enterprise dashboards, reports, semantic models, and visual analytics solutions.
Experience partnering with stakeholders to define business questions, gather requirements, assess findings, and deliver actionable reporting solutions.
Experience working with enterprise data platforms and large-scale datasets.

Technologies

Microsoft Power BI, Apache Superset
DAX, Power Query
Power BI Service, Workspaces, Apps, Deployment Pipelines
Snowflake
SQL
Import, DirectQuery, composite models
Row-Level Security, semantic modeling, dimensional modeling
Incremental refresh
Git

Benefits

Competitive pay, benefits, and flexibility to support well-being and future.
Personalized development programs, mentorship, and certification assistance.

Level Expectations

Business Intelligence Analyst III: Designs end-to-end BI solutions, including semantic and metric layers, data models, reports, and dashboards.
Business Intelligence Analyst III: Applies advanced analytical and statistical techniques to move from descriptive reporting toward diagnostic analysis of performance drivers and customer behavior, introducing predictive approaches when appropriate.
Business Intelligence Analyst III: Works independently with minimal guidance, leads solution components, partners with stakeholders to frame analytical questions, and provides technical guidance to peers.
Business Intelligence Analyst IV: Leads the design of complex, reusable BI solutions and serves as a technical lead for reporting and analytics initiatives.
Business Intelligence Analyst IV: Balances delivery with leadership of cross-functional projects, establishes semantic modeling and reporting standards, reviews technical designs, influences BI architecture and tooling decisions, and mentors analysts and developers across levels.

Preferred Qualifications

Microsoft Certified: Power BI Data Analyst Associate (PL-300).
Microsoft Power BI administration certification or equivalent demonstrated knowledge of Power BI administration concepts.
Strongly preferred experience with Microsoft Fabric features such as Lakehouses, Warehouses, Dataflows Gen2, Data Pipelines, Notebooks, Real-Time Intelligence, and related capabilities.
Strongly preferred experience using Snowflake as a primary enterprise data source for reporting and analytics.
Experience with Apache Superset or other BI and visualization platforms, including selecting the right tool for the business use case.
Experience developing or supporting Apache Airflow workflows.
Experience with Power BI Project (PBIP) formats and collaborative development of Power BI assets.
Experience using Git-based version control, including branching, pull requests, code reviews, and collaborative development workflows.
Knowledge of Power BI administration and architecture concepts, including capacity management, storage modes, licensing, workspaces, tenant considerations, governance, and performance optimization.
Understanding performance and capacity considerations involving DirectQuery, Import mode, composite models, incremental refresh, and Row-Level Security (RLS).
Experience using AI-assisted development tools such as Cursor, Claude, GitHub Copilot, or similar platforms to generate and refine scripts, troubleshoot solutions, create documentation, support testing, and accelerate analytics delivery.
Working knowledge of Python, scripting, or related programming concepts, with an emphasis on reviewing, validating, and applying AI-generated code.
Experience supporting report certification, semantic modeling standards, and reporting modernization initiatives.
Experience with Azure DevOps or a comparable agile work management and delivery platform.
Property and Casualty insurance, claims analytics, finance analytics, or enterprise reporting experience.

Location: Bethesda, MD (onsite)
Salary: USD 91,225 - 172,200 per year
Experience: 4+ years

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Today

Software Engineer

CVS Health Sacramento, CA

Sacramento, CA

Today

$83k - $222k/yr Full time Backend Developer Python Apache Airflow

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Job Description

Build and operate software that powers CVS Health Workforce Insights, including HR Insights and Organizational Health dashboards.

Responsibilities

Design, implement, test, and maintain well-scoped features across Python, SQL, and workflow code, aligned to team architecture and coding standards.
Convert product and operational requirements into technical tasks and collaborate with data engineers, analysts, and HR partners on expected behavior and acceptance criteria.
Participate in code reviews, improve existing implementations, and add automated tests for business logic, data contracts, and integrations.
Build and maintain BigQuery transformations and models, following conventions for grain, keys, history, and query efficiency.
Implement approved workforce metric definitions in SQL and application or BI integrations, keeping logic understandable and testable.
Preserve metric behavior when changing data models or interfaces by reconciling outputs to agreed reference numbers and investigating discrepancies with metric owners.
Document changes that affect reported numbers and obtain definition-owner approval before release.
Contribute to Apache Superset datasets and dashboard integrations; support API evaluation, caching, SSO, or scheduled-report behavior.
Follow access-control and governance patterns including BigQuery policy-tag, BI row-level security, and small-cell suppression.
Keep PII out of tables, logs, and outputs where it does not belong; consult data owners when requirements are unclear.
Add or run security, data-quality, and regression tests with senior engineers and governance partners before release.
Develop and maintain Airflow workflows, Python automation, SQL assets, and deployment-related code used by the product.
Use the GitHub Actions release process across dev, pdev, and prod, including environment placeholders; follow IAM and service-account controls.
Diagnose defects using logs and tests, contribute fixes, and help maintain monitoring and operational documentation; escalate production risks promptly.
Support safe releases through the team’s review, validation, rollback, and incident processes.
Maintain technical documentation for changed components, including interfaces, data lineage, and operational procedures.
Help modernize the Workforce Insights stack through incremental refactoring, migration validation, and retirement of legacy components via the team change process.
Maintain the team’s Apache Superset deployment by tracking upstream releases and security advisories, validating upgrades, and keeping configuration or extensions supportable.
Prefer configuration and extension points over long-lived private forks; document necessary patches and, when appropriate, contribute fixes upstream.
Share technical context and explain tradeoffs and metric behavior with technical and non-technical partners.

Requirements

3+ years of professional software development experience, or equivalent experience building and supporting production software.
3+ years with Python (or comparable general-purpose language), including readable, maintainable code and automated tests.
3+ years building or integrating APIs, services, data workflows, or other production systems, with ability to reason about interfaces and failure modes.
3+ years working across application code, data transformations, and operational tooling as product needs require.
2+ years advanced SQL expertise (preferably BigQuery
2+ years Kimball dimensional modeling: grain, conformed dimensions, slowly changing dimensions, bridge tables, factless facts, and fact additivity.
2+ years production experience with Airflow or Cloud Composer and Python for ETL, automation, data quality, and troubleshooting.
2+ years hands-on cloud data platform experience; GCP is strongly preferred, including working knowledge of BigQuery, Cloud Storage, IAM, service accounts, Secret Manager, and related security concepts.
1+ year experience with an enterprise semantic or BI layer such as Superset, ThoughtSpot, Looker, Tableau, Power BI, or similar, including governed metrics and row-level security.
1+ year experience with Git, code review, and CI/CD practices, preferably GitHub Actions across multiple environments.
1+ year experience tracing data or metric discrepancies to root cause and explaining findings to technical and non-technical audiences.

Technologies

Python
SQL
BigQuery
Apache Superset
Airflow
Cloud Composer
GitHub Actions
BigQuery policy-tag
Superset datasets
IAM
service accounts
Secret Manager
Cloud Storage
Git

Benefits

Medical, dental, and vision coverage
Paid time off
Retirement savings options
Wellness programs

Preferred Qualifications

Experience with Python data applications, SQL transformation frameworks, Airflow, or Cloud Composer.
Experience with BigQuery, GCP services, containerized deployments, or GitHub Actions.
Experience with BI or semantic-layer integrations such as Superset, ThoughtSpot, Looker, or Power BI.
HR or people-analytics knowledge, including Workday data, workforce metrics, or organizational hierarchies.
Experience handling sensitive employee data, access controls, policy tags, or small-cell suppression.
REST API automation; exposure to Superset on GKE, Celery, Redis, or OAuth.
Experience maintaining open-source software used by a team, including tracking releases and vulnerabilities, planning upgrades, managing customizations, or contributing changes upstream.
A Google Cloud Professional Data Engineer certification.
Master’s degree in a relevant technical or analytical discipline.

Education

Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field, or equivalent practical experience.

Location and Work Details

Location: Sacramento, CA (onsite)
Weekly hours: 40
Time type: Full time

Compensation

Salary range: USD 83,430 - 222,480 per yearly
Incentive: Eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above

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