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Full Time Data Solutions Engineer Jobs (NOW HIRING)

NxT Level

Data Solutions Engineer

Boston, MA · On-site

$124.40K - $149.40K/yr

... AI, data, and platform capabilities that enable global scale and business transformation. Their platform engineering organization is responsible for architecting robust, reusable solutions that ...

Adobe

AEP Lead Data Solutions Engineer

San Jose, CA

$134.20K - $161.10K/yr

Serve as lead data solutions engineer and architect new data solutions on the AEP platform, including core datasets leveraged by hundreds of users * Build, develop, and maintain scalable data ...

Adobe, Inc.

AEP Lead Data Solutions Engineer

San Jose, CA · On-site

$134.20K - $161.10K/yr

Serve as lead data solutions engineer and architect new data solutions on the AEP platform, including core datasets leveraged by hundreds of users * Build, develop, and maintain scalable data ...

Encord

Human Data Solutions Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

The role As a Human Data Operations & Solutions Engineer at Encord, you will sit at the intersection of technical sales and hands-on data operations. You are the expert who takes a prospect from ...

Encord

Human Data Solutions Engineer

San Francisco, CA · On-site

The Human Data Operations & Solutions Engineer will manage technical sales and hands-on data operations, leading the delivery of proof of concepts and ensuring high-quality data annotation workflows.

Chathamfinancial

Senior Data Solutions Engineer

Charlotte, NC

$103.50K - $140.60K/yr

As a Senior Data SolutionsEngineer within the Asset Platformdivision, you will report to the Asset Data Platform Managerand be part of a forward-deployed engineering team delivering complex solutions ...

Seven Seven Software

Data Engineer

Tampa, FL · On-site

$108.20K - $129.90K/yr

* A full life cycle data solutions engineer with minimum for eight years of experience * Strong experience in SDLC delivery in Agile methodologies * Experience in developing, implementing data ...

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Full Time Data Solutions Engineer information

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$44.5K

$129.7K

$177.5K

How much do full time data solutions engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for full time data solutions engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Solutions Engineer vs Data Analyst?

AspectFull Time Data Solutions EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data engineering toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentDesigning, building, and maintaining data infrastructure; collaborating with engineering teamsInterpreting data, creating reports, and providing insights to business teams
Employer & Industry UsageTech companies, data-driven organizations, consulting firmsMarketing agencies, finance firms, healthcare organizations

Full Time Data Solutions Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to generate insights. Both roles require strong analytical skills but differ in technical scope and responsibilities.

What cities are hiring for Full Time Data Solutions Engineer jobs? Cities with the most Full Time Data Solutions Engineer job openings:
What are the most commonly searched types of Data Solutions Engineer jobs? The most popular types of Data Solutions Engineer jobs are:
What states have the most Full Time Data Solutions Engineer jobs? States with the most job openings for Full Time Data Solutions Engineer jobs include:
Full Time Data Solutions Engineer jobs near you

Data Solutions Engineer

NxT Level

Boston, MA • On-site

$124.40K - $149.40K/yr

Full-time

Posted 24 days ago

Job description

Mid to Staff Engineer, Enterprise Data Exchange & Agentic Analytics (Data Explorer)
Location: Boston, MA (Onsite 4 days/week)
Contact / Apply: Aidan@nxtlevel.io
About Our Client
Our client is building foundational AI, data, and platform capabilities that enable global scale and business transformation. Their platform engineering organization is responsible for architecting robust, reusable solutions that improve agility and deliver material business impact across a complex, multi-business enterprise.
The Role
Our client is hiring a Mid to Staff Engineer to join a core AI/Data/Platform engineering team in Boston. This is a pivotal role focused on defining the enterprise strategy and target-state architecture for an internal "enterprise data exchange" capability (referred to in the posting as Data Explorer).
This role blends data platform architecture, analytics modernization, workflow orchestration, and agentic/AI-enabled analytics. You'll set long-term direction, drive cross-functional transformations, and serve as a senior technical authority influencing multiple platforms, teams, and business functions. Onsite expectations: 4 days/week in Boston.
What You'll Own
  • Enterprise Data Exchange Strategy (Data Explorer): Define the target-state architecture for governed, intuitive data discovery, access, sharing, and reuse across the organization
  • Metadata + Governance Foundations: Establish standards for metadata strategy, semantic consistency, entitlements, lineage, interoperability, and trusted data product consumption
  • Agentic Analytics Enablement: Act as senior technical authority for analyst agents-designing governed, explainable, auditable patterns that improve analyst productivity and decision support
  • Workflow Orchestration Patterns: Drive reusable control patterns for workflow orchestration across business domains (scalable, resilient, transparent, measurable)
  • BI Rationalization Roadmap: Own the strategy to reduce fragmentation across BI tools, metrics, dashboards, and user experiences; standardize KPI definitions and semantic layers

What You'll Do
  • Lead design and implementation of enterprise data solutions supporting analytics, operational workflows, data sharing, and agent-enabled analytics
  • Drive cross-functional modernization efforts: KPI harmonization, reporting standardization, platform usage models, governance, adoption, and cost efficiency
  • Partner with senior engineering, architecture, analytics, product, and business leaders to prioritize investments and resolve complex cross-platform issues
  • Mentor senior engineers and technical leaders-raising the bar for platform thinking and enterprise-scale execution
  • Evaluate emerging technologies across analytics, workflow automation, agentic systems, and enterprise data platforms and translate them into actionable architectural direction
  • Serve as a trusted advisor on complex initiatives spanning multiple teams and platforms, with accountability for shaping decisions and driving change

What Our Client Is Looking For
  • Bachelor's degree in CS/Engineering/IS or related; advanced degree preferred
  • 5+ years in data platforms, analytics engineering, enterprise architecture, workflow/process tech, or intelligent automation, operating as a senior enterprise technical leader
  • Proven track record defining and delivering enterprise platform strategy/architecture across multiple domains and influencing outcomes in large, matrixed orgs
  • Deep experience with enterprise data exchange / catalog / marketplace / self-service data platforms (metadata, governance, lineage, access controls, interoperability, adoption at scale)
  • Demonstrated expertise in AI-enabled analytics and agentic systems, with governed, explainable, auditable patterns
  • Strong experience modernizing BPM/workflow orchestration capabilities and understanding how controls + automation + data platforms work together
  • Proven success leading BI modernization and rationalization (consolidation, semantic standardization, KPI harmonization, reporting transformation)
  • Strong proficiency in SQL and Python; broad fluency across analytics platforms, data architecture, workflow tech, and integration patterns
  • Executive-level communication and influencing skills; ability to align senior stakeholders and drive change across boundaries
  • Ability to mentor senior talent and elevate architecture rigor across a broad engineering organization

Why This Role
  • Enterprise-scale ownership over the strategy for data discovery, sharing, governance, and adoption
  • High-leverage intersection of data platforms + BI modernization + workflow orchestration + agentic analytics
  • A seat where your architecture decisions will influence multiple platforms and business functions-not just one team's codebase

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