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Contract Looker Developer Jobs (NOW HIRING)

Credence

Senior Google AI Engineer

Mclean, VA · On-site +1

$105K - $145K/yr

With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and ... The ideal candidate combines deep GCP/Looker/BigQuery/Vertex AI expertise with strong MLOps, data ...

Current

Director, Analytics Engineering

New York, NY · On-site

$270K - $330K/yr

Extensive experience building scalable data models and reporting layers in Looker (LookML) or ... Familiarity with data mesh or data contract methodologies. * Experience working with and managing a ...

Credence

Senior Google AI Engineer

Mclean, VA · On-site

$105K - $145K/yr

With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and ... The ideal candidate combines deep GCP/Looker/BigQuery/Vertex AI expertise with strong MLOps, data ...

Credence

Senior Google AI Engineer

Mclean, VA · Remote

$107K - $146K/yr

With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and ... The ideal candidate combines deep GCP/Looker/BigQuery/Vertex AI expertise with strong MLOps, data ...

Credence

Senior Google AI Engineer

Mclean, VA · On-site

$108K - $147K/yr

With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and ... The ideal candidate combines deep GCP/Looker/BigQuery/Vertex AI expertise with strong MLOps, data ...

Cloudacio

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

We are seeking a skilled Data Engineer to join our dynamic team. This role involves developing and ... Experience with Looker, PowerBI, Tableau, or Grafana for data visualization. * Experience with ...

Sphere Partners

Site Reliability Engineer

Chicago, IL · On-site +1

$58.75 - $78/hr

Contract Details * Notice - 1-2 weeks * 1099 contract / contractor / B2B * Term - 3-6 months with ... Familiarity with operational dashboards and reporting tools (Looker or similar BI platforms)

Mars Technominds Inc

BI Project Manager

Dallas, TX · On-site

We are looking for a BI Project Manager @ Dallas, TX. on a Contract basis. Please let me know if ... Manage cross-functional teams including BI Developers, Data Engineers, and Analysts . * Track ...

Block+Tackle

Data Strategist (Contract-to-Perm)

Atlanta, GA · On-site

$116K - $151K/yr

This is not a data engineering role. This is a strategy role that requires enough technical fluency ... SQL proficiency required; comfort with a BI platform (Tableau, Looker, Power BI) expected You've ...

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Contract Looker Developer information

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How much do contract looker developer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for contract looker developer in the United States is $53.79, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $61.54 per hour, depending on experience, location, and employer.

What is a contract Looker developer?

Contract Looker Developers are professionals hired on a temporary or project basis to design, develop, and optimize data analytics solutions using Looker, a business intelligence and data visualization platform. They work with organizations to create dashboards, data models, and reports that help visualize and analyze business data. Their responsibilities may also include integrating Looker with various data sources, writing LookML code, and ensuring data accuracy. Contract Looker Developers are typically brought in for specific projects, implementations, or to fill short-term skill gaps within a company.

What are the key skills and qualifications needed to thrive as a contract Looker developer?

To thrive as a Contract Looker Developer, you need strong expertise in SQL, data modeling, and business intelligence concepts, often backed by experience with data warehouses and analytics projects. Familiarity with Looker-specific tools like LookML, and experience with platforms such as BigQuery or Snowflake, are typically required, with Looker certifications considered a plus. Excellent problem-solving skills, attention to detail, and effective communication are vital for translating business requirements into actionable data insights. These skills ensure accurate data visualization, efficient project delivery, and effective collaboration with stakeholders.

What are some common challenges faced by contract Looker developers when working with diverse client datasets?

Contract Looker Developers often encounter challenges related to integrating and modeling disparate data sources, as clients may use a variety of databases and data formats. Ensuring data consistency, accuracy, and optimizing LookML models for complex business logic can be time-consuming, especially when onboarding to new projects quickly. Additionally, balancing client expectations with best practices in data visualization and security requires strong communication and adaptability. Collaborating closely with client data teams is essential for understanding unique data requirements and delivering actionable insights.

What is the difference between Contract Looker Developer vs Contract Data Analyst?

AspectContract Looker DeveloperContract Data Analyst
Required CredentialsExperience with Looker, SQL, data modelingSQL, Excel, data visualization tools
Work EnvironmentTech companies, consulting firms, remote or on-siteBusiness teams, finance, marketing, remote or on-site
Employer & Industry UsageData-driven organizations, SaaS, techCorporate, finance, marketing departments
Search & Comparison IntentFocus on Looker skills, data modelingBroader data analysis, reporting skills

The Contract Looker Developer specializes in building and maintaining data dashboards using Looker, with a focus on data modeling and SQL. In contrast, a Contract Data Analyst performs broader data analysis, reporting, and visualization across various tools. Both roles require strong SQL skills but differ in their specific tools and focus areas, making the Contract Looker Developer more specialized in Looker platform expertise.

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Contract Looker Developer jobs near you
Infographic showing various Contract Looker Developer job openings in the United States as of September 2026, with employment types broken down into 42% Full Time, 5% Temporary, and 53% Contract. Highlights an 68% In-person, and 32% Remote job distribution, with an average salary of $111,882 per year, or $53.8 per hour.

Senior Google AI Engineer

Mclean, VA • On-site, Remote

Credence
See more jobs at Credenceexternal

$105K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Overview
Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.
We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.
Position Summary
We have an immediate need for a highly skilled Senior Google AI Engineer. We are growing our Google Cloud AI engineering capability to support our Department of War (DoW) programs. You will design, build, and operationalize production grade AI systems on Google Cloud-accelerating mission outcomes for a high visibility program.
As a Senior Google AI Engineer, you will serve as a hands-on technical leader for AI solution delivery. You'll translate mission needs into secure, scalable AI/ML systems; guide data, platform, and application engineers; and ensure solutions meet DoW security and compliance requirements in production. The ideal candidate combines deep GCP/Looker/BigQuery/Vertex AI expertise with strong MLOps, data engineering fluency, and experience delivering in regulated environments.
Responsibilities include, but are not limited to the duties listed below:
  • Architect and deliver end-to-end AI/ML solutions on Google Cloud using Vertex AI (Workbench, Pipelines, Training, Model Registry, Online/Batch Prediction, Feature Store, Model Monitoring) and Gemini/LLM services-optimized for performance, cost, and maintainability.
  • Develop production data pipelines with BigQuery, Dataflow, and Dataproc; integrate streaming via Pub/Sub; containerize and orchestrate with Cloud Run and GKE; automate CI/CD with Cloud Build and IaC.
  • Implement robust MLOps (experiment tracking, evaluation, bias/robustness testing, model versioning, canary/blue-green rollouts, automated retraining, drift detection, and lineage).
  • Apply secure-by-design patterns-VPC-SC, private service access, CMEK, fine-grained IAM, artifact signing, and secrets management-aligned to NIST 800-53, RMF, and FedRAMP baselines.
  • Operationalize LLM/GenAI (RAG, tool-use/agents, safety filters, evaluation harnesses) including retrieval over structured/unstructured data; leverage DoW-approved AI toolchains where appropriate.
  • Partner with mission stakeholders to elicit requirements, frame measurable success criteria, and deliver iterative value; provide technical mentorship and lead design/code reviews for engineering teams.
  • Contribute to program roadmaps (including use cases), documenting architectures, controls, and SOPs for sustained operations.

Requirements
  • US citizenship with the ability to obtain successful DoW Secret security clearance required. Candidates with active Secret clearance preferred.
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field.
  • Advanced degree (Master's Degree or PhD) in AI/ML, Data Science, Computer Science, or a closely related discipline is preferred but not required, especially when balanced with substantial hands-on experience (5+ years) in AI/ML solution development.
  • 8+ years total software development/data experience with 5+ years focused on AI/ML engineering and MLOps, including production deployments on Google Cloud (GCP).
  • Proven experience architecting robust data ingestion, processing, and transformation workflows using Dataflow, Data Fusion, Dataproc, BigQuery, and Looker and integrating these platforms with Vertex AI for model training, deployment, and inference.
  • Must possess a current Google Associate Cloud Engineer (GCP-ACE) or Google Professional Cloud Architect (GCP-PCA) certification or be able to obtain it within 90 days of hire.
  • Must possess at least one current DoW Cyber Baseline Certification (e.g., Security+ Intermediate, SecurityX/CASP+ Advanced) or be able to obtain it within 90 days of hire.
  • Proven experience with extracting data from SAP Enterprise Business Applications.
  • Expert in Python (and/or Go/TypeScript) for AI services; strong with Vertex AI, BigQuery, Dataflow and/or Data Fusion, GKE/Cloud Run, Cloud Build, Cloud Storage, Pub/Sub.
  • Practical experience with LLMs/GenAI (e.g., Gemini), vector databases, prompt engineering, RAG patterns, and evaluation/guardrails.
  • Proven MLOps track record (Pipelines, CI/CD for ML, feature stores, monitoring/drift, automated retraining) and strong data engineering fundamentals.
  • Ability to design for security & compliance in DoW/Federal contexts (NIST 800-53, RMF, FedRAMP; Zero Trust principles).
  • Hands-on experience with Vertex AI Agent Builder, Model Garden, embeddings/vector search (e.g., BigQuery Vector, AlloyDB AI), and evaluation frameworks.
  • Experience integrating GenAI safely within IL5 environments and familiarity with available government AI platforms.

Salary Range: $150,000 - $190,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.
Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Resources

Apply