data engineer

Ragle Inc

<div>
 
 
 
 Pay:
 
 &nbsp;$90,000.00 - $110,000.00 per year
 
 
 
 Job description:
 
 
 
 
 Data Engineer
 
 &nbsp;(2&ndash;3 Years Experience)
 
 
 
 Location:
 
 &nbsp;North Richland Hills, TX (On-site)
 
 
 Salary Range:
 
 &nbsp;$90,000&ndash;$110,000 (based on experience)
 
 
 Company:
 
 &nbsp;Ragle Inc.
 
 &nbsp;
 
 
 
 
 About the Role
 
 
 
 
 Ragle Inc. is expanding its Data &amp; Analytics team and is seeking a hands-on&nbsp;
 
 Data Engineer
 
 &nbsp;with 2&ndash;3 years of industry experience to help centralize and modernize operational, accounting, and project data.
 
 
 In this role, you will design and operate&nbsp;
 
 production-grade data pipelines
 
 &nbsp;that connect our in-house platform, accounting systems, telematics, scheduling, estimating tools, Smartsheet, and third-party APIs. These pipelines will power analytics used daily by&nbsp;
 
 Operations, Accounting, Estimating, and Executive Leadership
 
 .
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Design, build, and maintain reliable data pipelines using&nbsp;
 
 SQL and Python
 
 </li>
 <li>
 Ingest data from&nbsp;
 
 Azure SQL databases
 
 , third-party APIs, and structured file sources (CSV/Excel)
 </li>
 <li>
 Help establish and maintain a centralized analytics data model (fact and dimension tables)
 </li>
 <li>
 Partner with analysts to support&nbsp;
 
 Power BI semantic models
 
 &nbsp;and improve dataset performance
 </li>
 <li>
 Implement data quality checks, logging, monitoring, and alerting
 </li>
 <li>
 Collaborate with business stakeholders to translate workflows into robust data products
 </li>
 <li>
 Contribute to version control, deployment, and data engineering standards (Git, environments)
 </li>
 <li>
 Support migrations away from manual Excel workflows toward automated, governed datasets
 </li>
 </ul>
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build ETL/ELT processes integrating operational, accounting/payroll, and fleet telematics data
 </li>
 <li>
 Optimize SQL queries, views, and table structures for analytics performance and incremental loads
 </li>
 <li>
 Maintain documentation for pipelines, datasets, schemas, and data contracts
 </li>
 <li>
 Assist with access control, governance, and data security best practices
 </li>
 <li>
 Troubleshoot refresh failures and performance bottlenecks across the data stack
 </li>
 </ul>
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 2&ndash;3 years of professional experience as a&nbsp;
 
 Data Engineer or Analytics Engineer
 
 </li>
 <li>
 Strong SQL skills (complex joins, CTEs, window functions, performance tuning)
 </li>
 <li>
 Hands-on Python experience for data processing (pandas, standard libraries)
 </li>
 <li>
 Experience with relational databases (SQL Server / Azure SQL, Postgres, or similar)
 </li>
 <li>
 Experience building and maintaining production data pipelines
 </li>
 <li>
 Understanding of data modeling concepts (star schema, keys, SCD basics)
 </li>
 <li>
 Familiarity with&nbsp;
 
 Power BI
 
 &nbsp;or similar BI tools
 </li>
 <li>
 Comfortable working directly with business stakeholders
 </li>
 </ul>
 
 
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Azure experience (Azure SQL, Data Factory, or Fabric Data Pipelines)
 </li>
 <li>
 REST API ingestion experience
 </li>
 <li>
 ERP or operational systems integration exposure
 </li>
 <li>
 Git-based workflows and basic CI/CD
 </li>
 <li>
 Construction or asset-heavy industry experience
 </li>
 <li>
 Desire to grow into&nbsp;
 
 Senior Data Engineer or Analytics Lead
 
 &nbsp;roles
 </li>
 </ul>
 
 
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 Stable, documented, and trusted data pipelines
 </li>
 <li>
 Reusable datasets replacing manual Excel workflows
 </li>
 <li>
 Analytics relied upon for daily decision-making
 </li>
 <li>
 Smooth onboarding of new systems and data sources
 </li>
 <li>
 A scalable data platform supporting company growth
 </li>
 </ul>
 
 
 
 Why Join Ragle Inc
 
 .
 
 
 <ul>
 <li>
 Real operational data with direct business impact
 </li>
 <li>
 High ownership and production responsibility
 </li>
 <li>
 Small team with leadership visibility
 </li>
 <li>
 Professional development and certification support
 </li>
 </ul>
 
 
 
 Compensation &amp; Benefits
 
 
 
 
 Competitive salary (
 
 $90,000&ndash;$110,000
 
 &nbsp;based on experience), plus&nbsp;
 
 health, dental, and vision insurance
 
 ,&nbsp;
 
 paid time off and holidays
 
 , and&nbsp;
 
 professional development support
 
 .
 
 
 
 
 Additional Information
 
 
 
 
 Ragle Inc. is an&nbsp;
 
 Equal Opportunity Employer
 
 . We are committed to creating a diverse and inclusive workplace and make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status in accordance with applicable laws.
 
</div>

Data Engineer

KNOWFINITY

<div>
 We are hiring a
 
 Data Engineer
 
 on behalf of one of our prestigious
 
 Fortune 500 Healthcare clients in the United States
 
 . This is an excellent opportunity to work on large-scale healthcare data platforms, modern cloud technologies, and enterprise-grade data engineering initiatives that directly support critical business and patient-care operations.
 
 
 The ideal candidate should have hands-on experience in building scalable data pipelines, working with cloud-based data ecosystems, and supporting analytics and reporting solutions in a fast-paced enterprise environment.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
 </li>
 <li>
 Build and optimize data workflows using modern cloud and big data technologies.
 </li>
 <li>
 Collaborate with data analysts, business stakeholders, and engineering teams to deliver reliable data solutions.
 </li>
 <li>
 Develop data integration processes across multiple healthcare and enterprise systems.
 </li>
 <li>
 Ensure data quality, integrity, governance, and security standards are maintained.
 </li>
 <li>
 Monitor and troubleshoot data pipelines and production jobs.
 </li>
 <li>
 Support reporting, analytics, and business intelligence initiatives.
 </li>
 <li>
 Participate in performance tuning and optimization of databases and data processing systems.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2+ years of experience as a Data Engineer or in a related data-focused role.
 </li>
 <li>
 Strong experience with SQL and relational databases.
 </li>
 <li>
 Hands-on experience with Python, PySpark, or Scala.
 </li>
 <li>
 Experience working with ETL tools and data pipeline development.
 </li>
 <li>
 Familiarity with cloud platforms such as AWS, Azure, or GCP.
 </li>
 <li>
 Experience with big data technologies like Spark, Hadoop, or Databricks is preferred.
 </li>
 <li>
 Knowledge of data warehousing concepts and dimensional modeling.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or related field.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Healthcare domain experience preferred
 </li>
 <li>
 Exposure to HIPAA-compliant environments is an advantage
 </li>
 <li>
 Strong analytical and problem-solving skills
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to work with a Fortune 500 Healthcare organization.
 </li>
 <li>
 Exposure to enterprise-scale cloud and data engineering projects.
 </li>
 <li>
 Collaborative and technology-driven work environment.
 </li>
 <li>
 Competitive compensation package.
 </li>
 <li>
 Long-term growth and career advancement opportunities.
 
 
 </li>
 </ul>
 
 Work Authorization
 
 
 
 Candidates must be legally authorized to work in the United States. Visa sponsorship is available for eligible candidates.
 
 
 Skills: data engineering,python,big data,azure,aws,sql,gcp,cloud,analytics,healthcare,data,etl
</div>

Troon

<div>
 Troon&rsquo;s Corporate office, located in Scottsdale, AZ, is pleased to announce an excellent career opportunity for a Data Engineer! We are seeking a highly motivated individual who is eager to learn, contribute, and advance their career within a rapidly growing organization. The ideal candidate will bring a strong commitment to professional development and a desire to succeed in a dynamic corporate environment.
 
 
 The Data Engineer designs, builds, and maintains scalable data integration pipelines and architectures within the Azure ecosystem, enabling the ingestion, transformation, and promotion of data across bronze, silver, and gold medallion layers. Ensures reliable, high-quality, and governed data flows that support analytics, reporting, and downstream applications. Serves as a technical leader in data engineering, driving best practices in pipeline design, data modeling, and platform optimization.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and maintain end-to-end data pipelines to ingest data from internal and external systems into Azure data platforms
 </li>
 <li>
 Build and manage data integration processes using tools such as Azure Data Factory, Azure Synapse, and/or Azure Data Lake
 </li>
 <li>
 Implement and enforce medallion architecture (bronze, silver, gold) for structured data refinement and consumption
 </li>
 <li>
 Transform raw data into clean, validated, and enriched datasets suitable for analytics and business use
 </li>
 <li>
 Develop and optimize data models and transformation logic for performance and scalability
 </li>
 <li>
 Integrate data from APIs, SaaS platforms, databases, and third-party systems
 </li>
 <li>
 Ensure data quality, consistency, and integrity across all pipeline stages
 </li>
 <li>
 Implement monitoring, alerting, and logging for pipeline performance and failures
 </li>
 <li>
 Collaborate with data analysts, data scientists, and product teams to support reporting and advanced analytics needs
 </li>
 <li>
 Maintain and optimize data storage solutions (e.g., Azure Data Lake, Synapse) for cost and performance efficiency
 </li>
 <li>
 Establish and follow best practices for version control, CI/CD, and deployment of data pipelines
 </li>
 <li>
 Document data flows, transformations, and system dependencies
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 3+ years of experience in data engineering, ETL/ELT development, or data integration
 </li>
 <li>
 Hands-on experience building and maintaining production-grade data pipelines
 </li>
 <li>
 Experience working within cloud-based data platforms (Azure preferred)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 :
 
 
 <ul>
 <li>
 Experience implementing medallion architecture (bronze/silver/gold layers)
 </li>
 <li>
 Experience integrating multiple enterprise systems (CRM, ERP, SaaS platforms)
 </li>
 <li>
 Experience supporting analytics or BI environments
 
 
 </li>
 </ul>
 
 Required Knowledge and Skills:
 
 
 
 <ul>
 <li>
 Strong proficiency in SQL and data transformation techniques
 </li>
 <li>
 Experience with Azure data services (Azure Data Factory, Azure Data Lake, Synapse Analytics)
 </li>
 <li>
 Expertise in ETL/ELT pipeline design and orchestration
 </li>
 <li>
 Strong understanding of data modeling (relational and dimensional)
 </li>
 <li>
 Experience working with APIs, file-based ingestion, and streaming data sources
 </li>
 <li>
 Knowledge of data quality, validation, and error-handling techniques
 </li>
 <li>
 Strong problem-solving and troubleshooting skills
 
 
 </li>
 </ul>
 
 Preferred Knowledge and Skills:
 
 
 
 <ul>
 <li>
 Experience with PySpark, Spark, or Databricks
 </li>
 <li>
 Familiarity with Delta Lake and lakehouse architectures
 </li>
 <li>
 Experience with CI/CD pipelines and DevOps practices in Azure
 </li>
 <li>
 Knowledge of data governance, lineage, and cataloging tools
 </li>
 <li>
 Experience optimizing performance and cost in cloud environments
 
 
 </li>
 </ul>
 
 Education Requirements:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or related field
 </li>
 <li>
 Equivalent combination of education and experience may be considered.
 
 
 </li>
 </ul>
 
 About Troon:
 
 
 
 Founded in 1990 and headquartered in Scottsdale, AZ, Troon is the world&rsquo;s largest professional club management company, that specializes in services in golf, hospitality, and residential communities. With more than 900 locations in 45+ states and 27+ countries, Troon is a leading employer in hospitality. Guided by values that emphasize being infectiously energetic, consciously kind, and humbly prosperous, Troon offers professionals the opportunity to grow and succeed within a globally respected organization. Learn more at www.troon.com.
</div>

Indium Corporation

<div>JOB SUMMARY: The Data Engineer is a global position responsible for linking the factory floor data sources such as Programmable Logic Controllers (PLCs), sensors, analytical instruments, Manufacturing Execution Systems/Enterprise Resource Planning (MES/ERP) transactions to reports, visualization and actionable insights to monitor and improve factory and process health. The Data Engineer plays a significant role in our Engineering team, responsible for developing a vast array of enterprise solutions by collaborating with users and domain experts to gather requirements while working with the team to resolve business needs using tools like but not limited to .NET, Blazor, React, SQL, and Visual Basic. The Data Engineer owns the reports and promotes adoption via training and coaching sessions across the company at its various international locations.
ESSENTIAL JOB FUNCTIONS:<ul><li>
Use various analytical methods and custom-designed reports using (but not limited to) Excel, PowerBI, Structured Query Language (SQL) Server, SQL Server Analysis Services (SSAS) Tabular and Multidimensional to illustrate activities and trends for use by engineering and operations across various departments</li><li><ul><li>Use SQL databases to cleanse and maintain data sources for reporting purposes. Query SQL databases efficiently and effectively for high-performance reporting. Create SQL Server Views, Tables, Roles, Permissions and Agent Jobs as needed to securely deliver data to users.</li><li>Create SSAS Tabular data models to provide infrastructure for reporting as needed</li><li>Maintain data security protocols through use of Active Directory Groups, SQL Server, and SSAS Tabular Roles and Row-Level Security</li></ul></li><li>
Lead assigned projects and coordinate with cross functional teams and Information Technology to facilitate successful project implementations. Collect requirements and iterate development of reports to deliver maximum value to end users.</li><li>
Communicate all work effectively to other team members, to internal customers, and to Executive Management</li><li>
Explore and research alternative platforms for data reporting. Also research external data sources which could add value and insight to our internal data sources.</li><li><ul><li>Function as liaison between Engineering and other departments including but not limited to Analytics and Information Technology across the company regarding data systems as needed, to communicate user needs, mitigate obstacles, and recommend enhancements to information systems and reports.</li><li>The Data Engineer also proactively manages active and upcoming workloads, determines testing requirements, manages pipelines, and actively seeks to mitigate security risks.</li><li>Champion peer-to-peer learning, collaborative code review, and fostering collective growth</li><li>Perform other duties and special projects as assigned</li></ul></li></ul>
REQUIREMENTS:<ul><li>
Bachelor&rsquo;s degree in engineering, business, or related field Master&rsquo;s preferred</li><li>
1 year of experience in analytics, reporting, software application development</li><li>
Ability to travel as needed and support factories on all shifts.</li><li>
Provide own source of transportation for any local/day travel, including travel between Indium Corporation facilities</li></ul>
SHIFT/SITE:
Monday-Friday
Office Hours: 8:00 am - 5:00 pm
111 Business Park Drive, Utica, NY 
WAGE DISCLOSURE:
The salary range indicated in this posting represents the minimum and maximum of the range for the position. The actual range will vary based upon factors including, but not limited to, prior experience, knowledge, skill, and education as they relate to the position&rsquo;s qualifications, and internal equity.
The posted salary range reflects just one component of our total rewards package. Other components include health, dental, and vision insurance, PTO, retirement plan, volunteer opportunities, paid holidays, overtime opportunities, and many more. 
$62,500-$103,500 annually 
Indium Corporation is an equal opportunity employer that is committed to building an innovative workforce. All qualified applicants will be given consideration without regard to race, color, religion, sex, national origin, disability status, pregnancy status, veteran status, or other legally protected characteristics. 
#LI-DNI
#LI-DNP</div>

Horizon Surgical Systems

<div>Open Position &ndash; Data Engineer

Horizon Surgical Systems Inc. 


Horizon Surgical Systems Inc. is revolutionizing the world of surgical ophthalmology by developing a novel, AI driven, and imaging-guided surgical robotic system. Horizon Surgical Systems Inc. aims to expand access to care, provide superior capabilities to the human surgeon, and enhance patient outcomes. Microsurgery in general and Ophthalmology are subfields of surgery for which the surgical outcomes can be significantly improved by robotic systems to allow superior dexterity, precision, accuracy, and visualization beyond the human surgeon's own capabilities.

We are seeking highly motivated, and intellectually inquisitive individuals looking to make a positive impact on healthcare via the development of robotic technology. The core values of Horizon Surgical Systems Inc. are:
<ul>
<li>Commitment to Excellence: We aim to deliver superior patient outcomes and surgeon experiences</li>
<li>Passion for Creativity and Innovation: We are driven by new ideas and aim to push the boundaries of what's possible</li>
<li>Teamwork and Camaraderie: We achieve our best when we collaborate and work together</li>
<li>Welcoming of Critical Opinion: We are enriched by constructive criticism and support the best ideas</li>
<li>Personal Accountability: We honor our commitments and take responsibility for our actions</li></ul> 


Horizon Surgical Systems Inc. offers:
<ul>
<li>An opportunity to build autonomous surgical robotic systems driven by image guidance and AI technology for the future of affordable, high-quality healthcare.</li>
<li>The opportunity to work alongside clinicians, engineers, and global leaders in cutting-edge AI, imaging, and robotics technology.</li>
<li>Competitive compensation and an excellent company-paid benefits package.</li></ul> 

<h4 class="jobSectionHeader">
Role:</h4>

The Data Engineer is responsible for designing, building, and maintaining the data pipelines that power AI model training, validation, and regulatory workflows for autonomous surgical robotics systems. Working alongside the Data Operations Analyst, this role focuses on the engineering side of the data lifecycle: architecting reliable, scalable pipelines in Dagster, modeling data in SQL, and writing production-quality Python. The ideal candidate brings strong fundamentals in SQL and Python; and is eager to deepen their data engineering expertise in a fast-paced, regulated environment.
<h4 class="jobSectionHeader">
Essential Duties and Responsibilities</h4>
<ul><li>Design, build, and maintain data pipelines in Dagster to support AI model training, validation, and regulatory submission workflows.</li>
<li>Write and optimize SQL for data transformation, modeling, and quality validation across the data platform.</li>
<li>Develop Python-based tooling and automation to support data ingestion, transformation, and delivery.</li>
<li>Collaborate with the Data Operations team to ensure pipeline outputs meet data quality, traceability, and compliance requirements.</li>
<li>Build and maintain infrastructure for data ingestion from surgical robotic systems, annotation platforms, and internal sources into cloud storage (AWS S3).</li>
<li>Implement data validation, testing, and monitoring within pipelines to catch anomalies and ensure data integrity.</li>
<li>Support dataset versioning and lineage tracking to satisfy IEC 62304 and FDA Design History File requirements.</li>
<li>Contribute to the design of data models, schemas, and catalogs in coordination with the Data Operations team.</li>
<li>Troubleshoot and resolve pipeline failures, performance bottlenecks, and data inconsistencies.</li>
<li>Participate in code reviews and contribute to engineering best practices for the data platform.</li></ul> 

<h4 class="jobSectionHeader">
Required Qualifications</h4>
<ul><li>Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field, or equivalent practical experience.</li>
<li>2+ years of experience in data engineering, software engineering, or a related technical role.</li>
<li>Strong proficiency in SQL for data transformation and analysis.</li>
<li>Strong proficiency in Python for building data pipelines and automation.</li>
<li>Experience with cloud infrastructure (AWS preferred) and containerized workflows.</li>
<li>Familiarity with version control (Git) and collaborative development workflows.</li>
<li>Eagerness to learn and grow in data engineering, including orchestration frameworks, data modeling, and infrastructure-as-code.</li>
<li>Effective communication skills for working closely with analysts, ML engineers, and cross-functional teams.</li>
</ul><h4 class="jobSectionHeader">Preferred Qualifications</h4>
<ul><li>Experience with Dagster or similar orchestration frameworks (Airflow, Prefect).</li>
<li>Experience with data warehouse or lakehouse patterns (e.g., Snowflake, Delta Lake, dbt).</li>
<li>Exposure to regulated environments (FDA, ISO 13485, IEC 62304) or medical device industry.</li>
<li>Familiarity with machine learning data lifecycle concepts (dataset versioning, data drift monitoring, model validation datasets).</li>
<li>Knowledge of DICOM, medical imaging data standards, or ophthalmic imaging modalities (OCT, microscopy) is a plus.</li>
</ul>
This is an exciting opportunity to join a high-tech startup that is poised to revolutionize surgical robotics in ophthalmology. 


The base salary range for this role is $120,000 - $134,000, in addition to a performance-based annual bonus, equity (stock options), a comprehensive benefits package, and a generous PTO policy.</div>

Raft

<div>
 
 
 This is a U.S. based position. All of the programs we support require
 
 
 U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S.
 
 
 
 
 
 Who we are:
 
 
 
 
 
 Raft (https://TeamRaft.com) is a customer-obsessed non-traditional small business with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development, with headquarters in McLean, VA. Our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.
 
 
 We&rsquo;re looking for a
 
 &nbsp;Data Engineer
 
 to support our customers and join our passionate team of high-impact problem solvers.
 
 
 
 
 
 About the role:
 
 
 
 
 
 
 Data Engineers
 
 on our Distributed Systems team are focused on building data platforms that make it easy for different types of user personas to access data from a central control plane. This includes building backend services, connecting OSS projects in a repeatable and performant way, and extending feature sets. Experience involving data engineering and all things data. Utilizing new tools like DuckDB, Apache Pinot, Apache Superset, and others. As the Staff Data Engineer you will be working closely with Technical SMEs on the government stakeholders to build, configure, and deploy the next generation of data platform for mission-critical needs.
 
 
 
 
 
 Required Qualifications:&nbsp;
 
 
 
 <ul>
 <li>
 
 2+ years of backend development experience with at least one language like Java, Go, or Python
 
 </li>
 <li>
 
 Basic understanding of or exposure to data streaming concepts (Kafka experience preferred but not required)
 
 </li>
 <li>
 
 Willingness to learn about government datasets and data transformation processes
 
 </li>
 <li>
 
 Strong problem-solving skills and ability to break down complex problems into smaller tasks
 
 </li>
 <li>
 
 Interest in staying current with data engineering trends and technologies
 
 </li>
 <li>
 
 Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
 
 </li>
 <li>
 
 Strong communication skills and ability to work collaboratively in a team environment
 
 </li>
 </ul>
 
 
 
 Highly preferred:
 
 
 
 <ul>
 <li>
 
 Internship or coursework experience with data processing or ETL concepts
 
 </li>
 <li>
 
 Exposure to cloud platforms (AWS, Azure, GCP)
 
 </li>
 <li>
 
 Past use of SQL skills and understanding of database concepts
 
 </li>
 <li>
 
 Experience with version control (Git) and basic DevOps practices
 
 </li>
 <li>
 
 Previous internship or project work involving data analysis or engineering
 
 </li>
 <li>
 
 Interest in or exposure to open source technologies
 
 </li>
 </ul>
 
 
 
 Clearance Requirements:
 
 
 
 <ul>
 <li>
 
 Active Secret security clearance with ability to obtain and maintain TS SCI&nbsp;
 
 </li>
 </ul>
 
 
 
 Work Type:&nbsp;
 
 
 
 <ul>
 <li>
 
 Onsite at Hickam AFB, HI
 
 </li>
 <li>
 
 May require up to 25% travel
 
 </li>
 </ul>
 
 
 
 Salary Range
 
 :
 
 
 <ul>
 <li>
 
 $100,000 - $140,000
 
 </li>
 <li>
 
 The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities
 
 </li>
 </ul>
 
 
 
 What we will offer you:
 
 
 
 <ul>
 <li>
 
 Highly competitive salary
 
 </li>
 <li>
 
 Fully covered healthcare, dental, and vision coverage
 
 </li>
 <li>
 
 401(k) and company match
 
 </li>
 <li>
 
 Take as you need PTO + 11 paid holidays
 
 </li>
 <li>
 
 Education &amp; training benefits
 
 </li>
 <li>
 
 Generous Referral Bonuses
 
 </li>
 <li>
 
 And More!
 
 </li>
 </ul>
 
 
 
 Our Vision Statement:&nbsp;
 
 
 
 
 
 We bridge the gap between humans and data through radical transparency and our obsession with&nbsp;the&nbsp;mission.&nbsp;
 
 
 
 
 
 Our Customer Obsession:
 
 &nbsp;
 
 
 
 
 We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.
 
 
 
 
 
 How do we get there?
 
 &nbsp;
 
 
 
 
 Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking,&nbsp;and collaboration is a norm.&nbsp;
 
 
 
 
 Raft&rsquo;s core philosophy is&nbsp;
 
 Ubuntu: I&nbsp;Am, Because&nbsp;We are
 
 . We support our&nbsp;
 
 &ldquo;nadi&rdquo;
 
 &nbsp;by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration.&nbsp;
 
 
 
 
 We&rsquo;re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
 
 
</div>

MANTECH

<div>MANTECH seeks a motivated, career and customer-oriented Data Engineer to join our team in Herndon VA. The Data Engineer will leverage their expertise with Python to support the customer&rsquo;s data pipelines and related applications, from collection to ingestion, and ensure the integrity and security of data systems. You will play a critical role in delivering relevant and actionable cyber data to the right customers in a format that is normalized and actionable by cyber analysts and data scientists.
Responsibilities include but are not limited to:<ul><li>
Design, build, optimize, and maintain resilient data pipelines using Python, with a focus on data collection, ingestion, ETL, and analytics</li><li>
Develop and support complex data solutions, including data transformation, validation, and quality controls</li><li>
Integrate data from a variety of internal and external sources, including REST APIs, flat files, and structured/semi-structured formats</li><li>
Ensure data is available, accessible, reliable, and securely handled to meet stakeholder and operational needs</li><li>
Test, troubleshoot, and validate data movement, parsing, and transformation code across development and production environments</li><li>
Provide platform and production support, including debugging, root cause analysis, issue resolution, and ongoing maintenance</li><li>
Collaborate with cross-functional teams to deliver data products and help end users understand and effectively use analytics environments</li></ul>
Minimum Qualifications:<ul><li>
High School Diploma and 5+ years&rsquo; experience with software development in Python</li><li>
Experience with data engineering</li><li>
Experience building and maintaining data pipelines, ETL processes, and ingestion workflows</li><li>
Experience with Git/GitHub or similar version control systems</li><li>
Experience with common data formats such as JSON, XML, CSV, and other structured or semi-structured data</li><li>
Experience working with Bash, Linux, and command-line tools in a development or production environment</li></ul>
Preferred Qualifications:<ul><li>
Bachelor&rsquo;s degree in computer science or similar technical field</li><li>
Experience with Elasticsearch and Kibana</li><li>
Experience with AWS services such as Lambda, EC2, and S3</li><li>
Experience with data analytics and visualization tools</li><li>
Knowledge of cyber operations</li><li>
Certified Information Systems Security Professional (CISSP certification)</li></ul>
Clearance Requirements: An active/current TS/SCI with Polygraph is required
Physical Requirements: Must be able to remain in a stationary position 50% of the time</div>

Search 10000+ Data engineer jobs near you this July. New roles added regularly across leading industries. Apply today.

10000 data engineer jobs Near Me

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer