data software engineer

SEACORP

<div>SEACORP is seeking a well-qualified AI/ML Data Architecture Software Engineer.

Primary Duties and Responsibilities:

Job Summary: SEACORP is seeking an AI/ML Data Architecture Software Engineer with ability to obtain a DoD Secret Clearance for work out of Manassas, VA. This role will work within a multidisciplinary team of SEACORP and government personnel to define, design, and integrate software capabilities into complicated military systems.
Job Responsibilities Include:<ul><li>
Assist and participate in the requirements, design, prototyping, development and testing of data warehouse technologies including development of new products and enhancements of existing applications and systems.</li><li>
Design, code, test, integrate, and document software solutions.</li><li>
Work on problems with defined scope, schedule, and expectations.</li><li>
Participate in daily scrums, 2 week sprints, quarterly program increments, demonstration and retrospective ceremonies.</li><li>
Work includes database, middleware, API, and prototype development.</li></ul>

Qualifications:

Education: Bachelor's Degree in Computer Science, Information Systems, or Computer Engineering.
Experience: 3 years of relevant experience.
Required Skills and Experience:<ul><li>
Knowledge of Atlassian Tool Suite, Git, and Linux. Preferred knowledge in C++, Java, Python, Linux. 
</li><li>
Candidate should have the ability to work in a fast-paced work environment.
 </li><li>Able to collaborate with others while being able to handle independent tasking. Ability to learn new technologies quickly.</li></ul>
Ideal Skills and Experience:<ul><li>
Knowledge in the areas of Databases, SQL and No-SQL (Postgres, MongoDB), Apache Data Frameworks (Kafka, Spark, Iceberg, OpenMetadata, Ranger), Data Infrastructure (Ceph, S3, MinIO/Parquet, REST, Nessie, Druid), Data APIs (Trino, Metabase, MLLib, Superset).
</li><li>Knowledge in the areas of software prototyping, VS Code, Cursor IDE, and prompt engineering. 
</li><li>
Candidates possessing knowledge in these technologies will be considered exceptional candidates including Kubernetes, RKE2, containerization, Helm, AI/ML APIs, SparkML, AI/ML Integration (LLM Development Stack), DPCN training, PINN training, Vision-based World Model integration, software-based action model or agentic development integration.</li></ul>
As a requirement of employment, all SEACORP employees must hold U.S. Citizenship

Location: Manassas, VA

Travel: Quarterly (approximately 4 times a year)

Clearance: Secret

Work Environment &amp; Physical Demands: Office &amp; Computer Laboratories - Sitting, standing, extended periods of time using a mouse and keyboard and viewing computer screens. Infrequent lifting of &lt;40lbs. Movement between points within the same office or between buildings. Work is performed in generally consistent environmental conditions with some seasonality for temperature differences and lighting.

Successful candidates will enjoy competitive wages and a very rich benefit program, including:
<ul>
<li>Medical Benefits: Choice of two medical insurance programs through Blue Cross &amp; Blue Shield.</li>
<li>Dental Benefits: A best in class Dental Insurance Plan through Delta Dental.</li>
<li>Vision Benefits: An excellent Vision Benefit providing discounts and allowances for prescription glasses and contact lenses.</li>
<li>Retirement Benefits: A qualified 401(k) Retirement Savings Account with a generous employer matching contribution up to 8% of your eligible compensation.</li>
<li>Life Insurance Benefits: Employer paid Life and Accidental Death &amp; Dismemberment Insurance equal to your annual salary. Supplemental coverage is available for you and qualified family members as well as Supplemental Short-Term and Long-Term Disability Insurance.</li>
<li>Additional Benefits: Ten (10) Paid Holidays per year (including 2 floating Holidays), a generous Paid Time Off (PTO) program; Tuition Reimbursement, and Referral Bonuses.</li>
</ul>Undersea, on the surface, or in the air, SEACORP leverages its software and engineering expertise to deliver cutting edge warfare systems.

SEACORP is a proud Equal Opportunity Employer and complies with all applicable federal, state and local fair employment practices laws. SEACORP strictly prohibits and does not tolerate discrimination against employees, applicants or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, gender (including gender nonconformity and status as a transgender or transsexual individual), age, sexual orientation, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable federal, state or local law.</div>

AI/ML Data Architecture Software Engineer

Deloitte

<div>Our Deloitte AI &amp; Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. 
 
Work You'll Do 
 
The Palantir Data Engineer will design future-state, modern data architecture, pipelining, and analysis for transformation at the enterprise level using advanced cloud architectural principles. Using tools such as Palantir Foundry, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data pipelining and statistical programming tools to enterprise data to advance and enable key mission outcomes. 
 
The Team 
 
Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. 
 
Our AI &amp; Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively. 
 
Qualifications 
 
Required: 
<ul><li>
Bachelor's Degree required.
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.</li><li>
1+ years of data science and data manipulation.</li><li>
1+ years of experience with pipeline and application development within Palantir Foundry.</li><li>
1+ years experience working with Palantir Foundry engineers.</li><li>
2 + years of experience as a Data Engineer, Or Data Scientist.
</li><li>Must be able to obtain and maintain required security clearances for the role.</li>
Ability to travel 5-25%, on average, based on the work you do and the clients and industries/sectors you serve. 
<li>
</li></ul> 
 
Preferred: 
<ul><li>
2+ years of prior professional services or federal consulting experience.</li><li>
Creativity and innovation - desire to learn and apply new technologies, products, and libraries.</li><li>
Strong written and verbal communication skills.</li><li>
Strong organizational skills.</li></ul> 
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html 
 
#LI-MW5</div>

Palantir Data Engineer

Hyundai AutoEver America

<div>
 
 10607 &ndash; Software Engineer III (Data Engineer), Irvine, CA
 
 
 
 
 Company Overview
 
 
 
 Hyundai AutoEver America (HAEA) is the dynamic IT powerhouse behind Hyundai Motor Corporation, a Fortune 500 global leader in the automotive industry. As a key affiliate, we provide cutting-edge IT services and support to top brands including Kia, Genesis, Hyundai Translead, Hyundai Mobis, Hyundai Capital, and Glovis.
 
 
 HAEA offers a truly global and collaborative environment. Here, you&rsquo;ll drive innovation, boost operational efficiency, and help shape the future of mobility for the Hyundai Motor Group.
 
 
 At HAEA, we understand that IT is the cornerstone of today&rsquo;s fast-evolving digital world. By uniting all IT resources under one roof, we deliver consistent, top-quality solutions while serving as the crucial information link between Hyundai&rsquo;s Global Headquarters and North American operations.
 
 
 If you&rsquo;re passionate about technology and eager to make a real impact at a world-class company, Hyundai AutoEver America is the place to grow your career. Join us and be part of the transformation that&rsquo;s driving the future of automotive innovation.
 
 
 
 Role Overview
 
 
 
 We are seeking a motivated and detail-oriented Data Engineer to join our data engineering team. The role focuses on developing workflow automation using Apache Airflow and building scalable data pipelines. You will collaborate with data scientists, analysts, and engineering teams to ensure seamless data integration and optimize data-driven processes.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable data pipelines and ETL processes to transform and integrate data from multiple sources.
 </li>
 <li>
 Develop workflow automation using Apache Airflow and manage production batches with performance tuning.
 </li>
 <li>
 Create and optimize data models, schemas, and database structures for scalability and efficiency.
 </li>
 <li>
 Implement best practices in data warehouse and MDM applications, ensuring data governance, security, and quality.
 </li>
 <li>
 Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions.
 </li>
 <li>
 Develop scripts and automation tools to streamline data processing and pipeline operations.
 </li>
 <li>
 Implement automated monitoring, alerting systems, and maintain documentation for pipelines and data models.
 </li>
 <li>
 Create reports and visualizations to communicate pipeline performance and data insights.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.
 </li>
 <li>
 10+ years of experience in data warehouse and MDM applications.
 </li>
 <li>
 Extensive knowledge of SQL and relational databases.
 </li>
 <li>
 Strong programming skills in Python and PL/SQL.
 </li>
 <li>
 10+ years of experience working with Informatica.
 </li>
 <li>
 Knowledge of Informatica IDMC and PowerCenter is a must.
 </li>
 <li>
 Knowledge of big data technologies such as Apache Spark, Hadoop, or equivalent cloud-based services.
 </li>
 <li>
 Strong understanding of data governance, security, and quality practices in cloud environments.
 
 
 </li>
 </ul>
 Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
 
 
 Salary Range - $96,500 to $138,061
 
 
 In addition to a competitive salary, this position offers a fantastic benefits package that includes comprehensive medical/dental coverage, generous PTO, education assistance, and annual merit increase eligibility in a growth-focused work environment.
 
 
 Team Culture:
 
 
 Our team thrives on collaboration, innovation, and continuous learning. We foster a supportive environment where every member is encouraged to share ideas and contribute to problem-solving. We value:
 
 
 <ul>
 <li>
 Passion for Technology: We are enthusiastic about emerging technologies and their potential to transform the automotive industry.
 </li>
 <li>
 Agility: We work in an agile environment, adapting quickly to changes and continuously improving our processes.
 </li>
 <li>
 Teamwork: We believe in the power of teamwork and collaboration, supporting each other to achieve common goals.
 </li>
 <li>
 Growth: We prioritize personal and professional growth, offering opportunities for learning and development.
 </li>
 <li>
 Inclusivity: We maintain an inclusive culture where diverse perspectives are valued, and everyone feels welcome.
 
 
 </li>
 </ul>
 
 Our Company adheres to the equal employment opportunity guidelines set forth by federal, state and local laws. The information requested on this form is sought in good faith and will not be used to discriminate against the applicant based on race, religion or creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic characteristics, marital status, sex or gender (which includes pregnancy, childbirth, or related circumstances), gender identity, gender expression, age, citizenship, sexual orientation, family care or medical leave status, military and veteran status, political affiliation, or any other characteristic protected by federal, state and local laws.
 
</div>

10607 – Software Engineer III (Data Engineer)

<div>Title:
Big Data Systems Engineer
Belong, Connect, Grow, with KBR!
KBR&rsquo;s National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country&rsquo;s most critical role &ndash; protecting our national security.
KBR is seeking a Big Data Systems Engineer to join our team. The successful candidate will be part of the KBR team supporting the Test Resource Management Center&rsquo;s (TRMC) Big Data (BD) and Knowledge Management (KM) Team deploying BD and KM systems for DoD testing Ranges and various acquisition programs.
Responsibilities:
<ul><li>The Big Data Systems Engineer will work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test &amp; Analysis Suite (CHEETAS) at multiple DoD ranges and labs.</li><li>
As a Big Data Systems Engineer, you will be a critical part of our technical team responsible for deploying CHEETAS within customer environments. You will be the frontline interface that customers will have when first experiencing CHEETAS within their DoD Range and lab environments.</li><li>
This position will require you to work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise.</li><li>
You will deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity.</li><li>
Work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test &amp; Analysis Suite (CHEETAS) at multiple DoD ranges and labs</li><li>
Deploy CHEETAS within customer environments</li><li>
Work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise</li><li>
Deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity</li></ul>
Work Environment:
<ul><li>Location: Remote - The candidate can either work in one of KBR&rsquo;s facilities or work from home, with a stable internet connection.</li><li>
Travel Requirements: This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the US (including Alaska and Hawaii).</li><li>
Working Hours: Standard</li></ul>
Basic Qualifications/Knowledge:<ul><li>
Must have an active TS/SCI Security Clearance to be considered for this position.</li><li>
This position requires a bachelor's degree in a STEM Computer Science, Data Science, Statistics or related, technical field, and 10 years of DoD experience. Entry level Big Data Engineers will NOT be considered due to the breadth of knowledge necessary to be successful in the position.</li><li>
Previous experience must include three (3) years of hands-on experience in the integration with and configuration of: SQL Server Big Data Cluster, CentOS, Ubuntu, RedHat, Windows Server, VMWare, etc.)</li><li>
Previous experience must include five (5) years of hands-on experience in big data environments.</li><li>
Must be adept at deploying and configuring Big Data and Knowledge Management tools in an enterprise environment.</li><li>
Must have extensive technical expertise in the configuration and troubleshooting of big data ecosystems.</li><li>
Must have excellent written and verbal communication skills and be comfortable assisting customers with installation and configuration of their big data infrastructure.</li><li>
Must have strong troubleshooting skills and the ability to become a CHEETAS deployment subject matter expert.</li><li>
Must be comfortable working with a wide range of stakeholders and functional teams at various levels of experience.</li><li>
Excellent interpersonal skills, oral and written communication skills, and strong personal motivation are necessary to succeed within this position.</li><li>
Experience with installation, configuration, integration with and usage of the following tools and technologies: NFS, SMB, S3, SQL Server, Windows Server, Windows 10/11, Linux (CentOS, Ubuntu, RedHat).</li><li>
Must be prepared to learn new business processes or CHEETAS application nuances every Agile sprint release (roughly every 6 weeks) prior to deploying to customer sites.</li><li>
Ability to problem solve, debug, and troubleshoot while under pressure and time constraints is required.</li><li>
Ability to communicate effectively about technical topics to both experts and non-experts at both the management and technical level is required.</li><li>
Ability to work independently and provide appropriate recommendations for optimal design, analysis, and development.</li><li>
Excellent verbal communications skills are required, as the Integration Engineer will be in frequent contact with the project technical lead, be taking direction from various government leads, and will frequently be interacting with end users to gather requirements and implement solutions while away from other team members.</li><li>
Excellent testing, debugging and problem-solving skills are required to be successful in this position.</li><li>
Experience designing, building, integrating with and maintaining both new and existing big data systems and solutions.</li><li>
Ability to speak and present findings in front of large groups.</li><li>
Ability to document and repeat procedures.</li><li>
This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the United States.</li></ul>
Preferred Qualifications:
<ul><li>Experience working in government/defense labs and their computing restrictions.</li><li>
Experience working with major DoD acquisition programs.</li><li>
Knowledge of the Test and Training Enabling Architecture (TENA), the Joint Mission Environment Testing Capability (JMETC) and distributed testing and training.</li><li>
Experience with working in distributed team environment.</li><li>
Ability to teach and mentor engineers with a variety of skill levels and backgrounds.</li><li>
Knowledge of DoD cybersecurity policies.</li></ul>
Basic Compensation:
$142,400 - $180,000 (For the Denver, CO Area only)
$148,900 - $200,000 (For the Los Angeles, CA Area Only)
$148,900 - $200,00 (For the Washington, DC Area Only)
The offered rate will be based on the selected candidate&rsquo;s working location, knowledge, skills, abilities and/or experience, clearance level, contract affordability and in consideration of internal parity.
Additional Compensation:
KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of a sign on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance.
Belong, Connect and Grow at KBR 
 
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team&rsquo;s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver &ndash; Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.</div>

Big Data Systems Engineer

Hexaware Technologies

Role Big Data Engineer Responsibilities Implement Data integration and Data Warehouse based solutions using Big Data Technologies. Should be highly proficient in the use of Big Data / Open Source Technologies and standard techniques of Data Integration; Data Manipulation with hands-on contribution. Should be able to develop cost efficient and performant data pipelines in the cloud platform In-depth understanding of modern big data technology; including Data modeling and machine learning skills Knowledge of real time data streaming and aggregation architectural patterns and practice Essential Skills: 3+ Years hands on knowledge on SQL as well as SQL/NoSQL databases Proficient in programming languages such as Python and PySpark/Scala/Java Experience with Apache Spark in On-prem / Cloud (Databricks / EMR / DataProc HDInsight) Working knowledge of API development Experience in building data pipelines in ETL/ELT methods Experience with integration of data from multiple data sources Experience in one of the NoSQL databases; such as HBase; Cassandra; MongoDB

Big Data Engineer

Olsson

<div><div><div><h2 class="jobSectionHeader">Company Description</h2>
</div>
We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results &ndash; for our people, our clients, and our company.

We're a people-centric firm, so it's no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us.</div>
Job Description

Olsson provides engineering services for data centers, large commercial developments, hospitals, laboratories, schools and universities, and military facilities. Our Mechanical, Electrical, and Plumbing (MEP) teams support complex facility designs, including HVAC, power distribution, lighting, and advanced modeling and analysis.

As a CFD Engineer, you will support Olsson's Data Center team by developing and executing CFD models for mission‑critical facilities. This role plays an important part in expanding Olsson's CFD capabilities while collaborating closely with mechanical, electrical, and commissioning teams to deliver meaningful, data‑driven solutions for our clients.
<h3 class="jobSectionHeader">
Primary Responsibilities</h3>
<ul><li>Develop and execute CFD models for data center and similar built‑environment applications, including interior and exterior analyses.</li>
<li>Perform model setup, troubleshooting, and validation with guidance from senior engineering staff.</li>
<li>Interpret CFD results and communicate findings through written reports and presentation materials.</li>
<li>Collaborate with engineering teams to support design decisions and improve system performance.</li>
<li>Participate in client discussions and presentations, explaining results and recommending solutions.</li>
<li>Apply understanding of ambient conditions, wind rose analysis, and psychrometrics to modeling efforts.</li>
<li>Coordinate with other Olsson teams, professional staff, and clients to support project delivery.</li>
<li>Periodically support CFD efforts in other markets served by Olsson, as needed.</li>
<li>Travel occasionally to job sites for observation or client meetings.</li>
</ul><h3 class="jobSectionHeader">Qualifications</h3>

You are passionate about:
<ul>
<li>Working collaboratively with others.</li>
<li>Taking ownership of your work.</li>
<li>Using your talents to positively impact communities.</li>
</ul>
You bring to the team:
<ul>
<li>Demonstrated CFD modeling experience for data centers or similar complex facilities.</li>
<li>Strong written and verbal communication skills.</li>
<li>Bachelor's degree with 2+ years of related CFD experience.</li>
<li>3+ years of experience supporting engineering and facility design efforts.</li>
<li>Knowledge of typical data center equipment, systems, and operations is preferred.</li>
<li>Understanding of normal and emergency operating conditions within critical facilities.</li>
<li>Flexibility and willingness to provide timely, practical solutions.</li>
<li>Path toward Professional Engineer licensure is preferred.</li>
<li> Prior Six Sigma or Cadence Reality experience is a plus.</li>
</ul>
#LI-DD1<div><h2 class="jobSectionHeader">
Additional Information</h2>

Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come.

As an Olsson employee, you will:
<ul>
<li>Receive a competitive 401(k) match</li>
<li>Be empowered to build your career with tailored development paths</li>
<li>Have the possibility for flexible work arrangements</li>
<li>Engage in work that has a positive impact on communities</li>
<li>Participate in a wellness program promoting balanced lifestyles</li>
</ul>
In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. 


Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status.

Olsson understands the importance of privacy and is committed to protecting job applicants' personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the &quot;CCPA&quot;), this notice explains Olsson's practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices.

For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here.</div></div>

Computational Fluid Dynamics (CFD) Engineer – Data Center

Fractal

<div>
 
 
 AI and Data Platform Engineer
 
 
 
 Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work&reg; Institute and recognized as a &lsquo;Cool Vendor&rsquo; and a &lsquo;Vendor to Watch&rsquo; by Gartner.
 
 
 Please visit
 
 Fractal | Intelligence for Imagination
 
 for more information about Fractal.
 
 
 
 
 We are looking for a strong AI Engineer who thrives at the intersection of AI assisted development, data platform engineering, and high velocity delivery.
 
 
 This role focuses on delivering high‑quality, scalable, and governed data assets through spec‑driven development, AI‑enabled engineering workflows, and standardized data patterns. You will work closely with platform, DevOps, SRE, and analytics consumers to enable self‑service analytics while reducing operational toil through automation and reuse.
 
 
 This is a hands‑on engineering role for someone who enjoys modern data engineering, high engineering rigor, and rapid, AI‑accelerated delivery. You may need to work with PST overlapping hours.
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 Spec‑Driven &amp; AI‑Accelerated Data Engineering
 
 
 <ul>
 <li>
 Deliver high‑quality data ingestion, transformation, and modeling solutions using Fabric and associated Azure services through spec‑driven development.
 </li>
 <li>
 Apply AI‑enabled development workflows using tools such as GitHub Copilot and LLM‑assisted coding to maximize development velocity without compromising quality.
 </li>
 <li>
 Translate business and analytics requirements into clear technical specifications, schemas, transformations, and acceptance criteria.
 </li>
 <li>
 Participate actively in automated reviews, AI‑assisted refactoring, and iterative improvements.
 </li>
 </ul>
 
 
 Data Pipelines &amp; Modeling
 
 
 <ul>
 <li>
 Build modular, reusable, and testable pipeline components aligned with standardized data patterns.
 </li>
 <li>
 Design and implement ingestion and transformation pipelines using Fabric‑native constructs (Lakehouse, Warehouse, Notebooks, Dataflows Gen2).
 </li>
 <li>
 Optimize transformations for scale, performance, and cost efficiency.
 </li>
 <li>
 Ensure pipelines are dependency‑aware, well‑orchestrated, and production‑ready.
 </li>
 </ul>
 
 
 
 
 
 Self‑Service Analytics Enablement
 
 
 <ul>
 <li>
 Produce consumer‑ready, tested, and governed datasets to enable self‑service analytics for business and analytics users.
 </li>
 <li>
 Apply strong data modeling practices (relational, dimensional, and analytical models) to support reporting and insights.
 </li>
 <li>
 Ensure data quality through validation checks, reconciliations, and automated testing.
 </li>
 <li>
 Platform Collaboration &amp; Production Readiness
 </li>
 <li>
 Collaborate closely with DevOps, SRE, and QA engineers to ensure production readiness and operational reliability.
 </li>
 <li>
 Follow consistent CI/CD, testing, and release practices across environments.
 </li>
 <li>
 Support investigation and resolution of data issues by improving pipeline robustness and observability.
 </li>
 </ul>
 
 
 Engineering Excellence &amp; Automation
 
 
 <ul>
 <li>
 Participate in code and design reviews, upholding engineering standards for quality, performance, and maintainability.
 </li>
 <li>
 Build reusable data assets and automated workflows to reduce manual data support and operational effort.
 </li>
 <li>
 Continuously improve reliability, reusability, and maintainability of data solutions.
 </li>
 </ul>
 
 
 
 Qualifications &amp; Experience
 
 : Core Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, or related field
 </li>
 <li>
 4+ years of professional software, data, or AI engineering experience
 </li>
 <li>
 Strong hands-on experience with:
 </li>
 <li>
 SQL (advanced querying and optimization)
 </li>
 <li>
 Data modeling (relational, dimensional, and analytical models)
 </li>
 <li>
 Distributed data processing concepts
 </li>
 <li>
 AI Engineering &amp; Development Velocity
 </li>
 <li>
 Demonstrated experience using AI assisted development / vibe coding to accelerate delivery
 </li>
 <li>
 Comfort working from detailed specifications rather than exploratory coding alone
 </li>
 <li>
 Strong engineering discipline: clean code, modular design, automated testing
 </li>
 <li>
 Fabric &amp; Azure (Required / Strongly Preferred)
 </li>
 </ul>
 
 
 Experience with strong exposure to:
 
 
 <ul>
 <li>
 Lakehouse, Warehouse, Notebooks, Dataflows Gen2
 </li>
 <li>
 OneLake concepts
 </li>
 </ul>
 
 
 Prior experience with:
 
 
 <ul>
 <li>
 Databricks (Spark, notebooks, pipelines)
 </li>
 <li>
 Azure services such as ADLS, Azure SQL, Synapse
 </li>
 <li>
 Ability to translate Databricks patterns into Fabric native implementations
 </li>
 </ul>
 
 
 
 Personal Attributes
 
 
 
 <ul>
 <li>
 Forward thinking, self-starter mindset
 </li>
 <li>
 Strong problem solving and systems thinking skills
 </li>
 <li>
 Comfortable operating in ambiguity with clear specifications as the stabilizing force
 </li>
 <li>
 Passion for building end to end, production grade AI and data platforms
 </li>
 </ul>
 
 
 
 
 
 Pay
 
 
 
 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $110,000 - $120,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.
 
 
 
 
 
 
 Benefits:
 
 
 
 As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides 11 paid holidays and 12 weeks of Parental Leave. We also follow a &ldquo;free time&rdquo; PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.
 
 
 
 
 
 
 Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
 
 
 
 
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