senior database engineer

Immersion Consulting, LLC

<div>Description:
<p>
The Senior Data Engineer is responsible for designing, implementing, maintaining, and optimizing a cloud-based data architecture and data pipeline ecosystem. The position supports advanced analytics, machine learning operations, fraud detection initiatives, and investigative activities by delivering scalable, secure, and sustainable Azure-based data solutions. The Senior Data Engineer develops and maintains modern ELT/ETL pipelines, data models, source-controlled environments, and operational standards that enable efficient data ingestion, processing, storage, and access.</p><ul><li>
Design, implement, and maintain scalable Azure-based data architecture supporting audits, investigations, and fraud analytics.</li><li>
Develop, optimize, and sustain ELT/ETL pipelines within Azure Synapse Analytics and Azure Machine Learning environments.</li><li>
Migrate and integrate large-scale datasets into Azure Data Lake Storage (ADLS).</li><li>
Establish source control, version management, and development standards across data engineering assets.</li><li>
Implement pipeline monitoring, validation, logging, and error-handling frameworks.</li><li>
Design and maintain data models, data dictionaries, entity relationship diagrams, and architectural documentation</li><li>
Optimize ingestion, transformation, storage, and retrieval performance across diverse data sources and formats.</li><li>
Develop self-service data access capabilities for analysts and investigators.</li><li>
Collaborate with Data Scientists to ensure infrastructure effectively supports machine learning and AI initiatives.</li><li>
Author and maintain Standard Operating Procedures (SOPs) governing data pipeline development, deployment, and monitoring.</li><li>
Evaluate emerging AI-enabled engineering tools and LLM-assisted automation capabilities.</li><li>
Recommend and implement architectural improvements that increase efficiency, reliability, security, and cost effectiveness.</li></ul>
Requirements:
<ul><li>Bachelor's degree in Data Engineering, Computer Science, Data Science, Machine Learning, Mathematics, or related discipline; <b>or </b>5 years of relevant applied experience.</li><li>
Five or more years of experience maintaining SQL database environments and performing advanced SQL/T-SQL operations.</li><li>
Five or more years of experience designing and maintaining cloud-based ELT/ETL solutions.</li><li>
Three or more years of experience working with Azure Synapse Analytics and Azure Machine Learning.</li><li>
Three or more years of experience developing data solutions using Python and Pandas.</li><li>
Experience supporting modern data platforms and cloud-native analytics architectures.</li><li>
Demonstrated expertise in data architecture design, pipeline optimization, and operational support.</li></ul></div>

Senior Data Engineer

Full Visbility

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Industry</p>
<div>IT Services
</div></div><div><p>Date Opened</p>
<div>07/27/2026
</div></div><div><p>Job Type</p>
<div>Full time
</div></div><div><p>Salary</p>
<div>$115K to $194K
</div></div><div><p>Work Experience</p>
<div>5+ years
</div></div><div><p>City</p>
<div>Huntsville
</div></div><div><p>State/Province</p>
<div>Alabama
</div></div><div><p>Country</p>
<div>United States
</div></div><div><p>Zip/Postal Code</p>
<div>35801
</div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Full Visibility LLC is a federally certified Small Business that delivers innovative technical solutions to address the nation&rsquo;s most critical and sensitive missions. Founded in 2006, our extensive technical capabilities and expertise support federal and state government agencies with over 100 cleared technical experts specializing in mission solution areas of Digital, AI &amp; Analytics, Cyber, and Engineering.</div><div></div><div><br>
With offices in the National Capital Region, Quantico, VA, and Huntsville, AL - we deliver critical technical solutions to various federal government agencies and departments.</div>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><div><br>
Full Visibility is seeking a Data Engineer, Senior to work in Huntsville, AL. Candidate must possess a current/active Top Secret/SCI Eligible clearance. Individuals selected for this position will be subject to Counterintelligence (CI) Polygraph examinations based on their assignment after their start date and must be able to obtain and maintain any required CI Polygraph eligibility throughout the duration of their employment.</div><div>
<br>
The Data Engineer, Senior will be responsible for engineering in support of an advanced visual analytic application that includes developing data analytics for desktop and web-developed visual analytic software, facilitating the bulk analysis of relational information utilizing advanced graphics, visualization, and high-performance computing, as well as using the specified open source, COTS, and GOTS technologies. The Data Engineer will establish an application that produces manageable, actionable intelligence from streams of structured and semi-structured data; design strategies for enterprise database systems and set standards for operations, programming, and security; design and construct large relational databases; and integrate new systems with existing warehouse structure and refine system performance and functionality.</div><div></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><div><ul><li>
At least eight (8+) years of experience providing data engineering or related work.<br>
</li><li>
Knowledge of ETL data migration utilizing Java, Oracle, PostgreSQL, Apache Spark.<br>
</li><li>
Robust decision-making skills and domain knowledge.<br>
</li><li>
Bachelor&rsquo;s Degree in related field or in lieu of degree, 4 additional years of experience.</li></ul><div>
This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: local market conditions, and candidate qualifications, such as skills, education, and experience. A reasonable salary range for this position is $115K&ndash;$194K.<br>
</div></div><div>
#CJ</div><h3 class="jobSectionHeader"><b><br>
Benefits</b></h3><p><b>
About Full Visibility</b></p><p><br>
Full Visibility LLC is a federally certified Small Business that delivers innovative technical solutions to address the nation&rsquo;s most critical and sensitive missions. Founded in 2006, our extensive technical capabilities and expertise support federal and state government agencies with over 100 cleared technical experts specializing in mission solution areas of Digital, AI &amp; Analytics, Cyber, and Engineering.</p><p><br>
Our technologists are recognized as industry leaders with demonstrated expertise in innovating and transforming our client environments in support of national security and law enforcement. Headquartered in Tysons, VA &ndash; with locations in Chantilly, VA, Quantico, VA, and Huntsville, AL &ndash; we have specialized experience supporting sensitive missions and an understanding of the niche skillsets required to overcome challenges in these environments. Our clients benefit from an enthusiastic and reliable team of talent with high employee morale and retention based on our <b><i>FULL EMPLOYEE</i></b> approach where each employee&rsquo;s professional and personal well-being is considered. Our focus on employee development, success, and morale is demonstrated by our consecutive top ranking as the <i>Best Place to Work</i> by the Washington Business Journal as a twelve-time honoree. Full Visibility has also been included on the Inc. 5000 <i>Fastest-Growing Private Companies in America</i> list eight times since 2014.</p><p><br>
Full Visibility currently has over 20 active contracts with 100 billable staff supporting 21 clients in the Intelligence and Law Enforcement communities. As part of our commitment to partnerships, we are teammates with 13 prime contract holders. Additionally, Full Visibility holds contracts on several vehicles, such as GSA Multiple Award Schedule (MAS), DISA SETI (as IE TEK JV member), DIA SITE III, HCaTS, as well as several classified vehicles. Our portfolio includes experience serving the Department of Defense, Department of Homeland Security, Department of Justice, and Department of Veterans Affairs, as well as commercial clients.</p><div><br>
<br>
</div><p>Contact recruiting@fullvisibility.com for any questions or concerns related to this position or our company.</p><p><br>
To review our company benefit offerings please visit https://www.fullvisibility.com/benefits.</p><br>
<p></p>
</div><div><div><div>Full Visibility LLC is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran status, disability or genetic information or any other reason prohibited by law in employment.</div></div></div></div></div><p></p>

Data Engineer, Senior (TS/SCI Clearance)

Wells Fargo

<div><p><b>About this role:</b></p><p>
Wells Fargo is seeking a Senior Data Engineer to join the CSBB Deposits Data &amp; Insights team Technology. The Consumer Technology organization provides data technology services to the Enterprise-wide lines of businesses, functions, and leaders. Business alignment includes Enterprise Risk, Enterprise Finance, Enterprise Data Management and Insights, Human Resources, Public Affairs (including Marketing), Customer Excellence, Audit and Legal.<br>
<br>
The Senior Data Engineer will be part of the BMG Data Warehouse team within the Consumer and Small Business/Digital Data team. The BMG data warehouse supports key Deposits, Servicing, and Debit/Credit Data sets used by CSBB and other LOB business partners for reporting and analytics. The role will be responsible for providing technical expertise for solution design for medium to complex data work efforts, hands-on development, code reviews and QA for the current state BMG Data Warehouse platform. The role may also include work related to the Target State Cloud Platform Strategy, Roadmap, and Migration activities.</p><p></p><p><b>
In this role, you will:</b></p><ul><li><p>
Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables</p></li><li><p>
Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting</p></li><li><p>
Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors</p></li><li><p>
Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis</p></li><li><p>
Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements</p></li><li><p>
Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals</p></li></ul><p><b><br>
Required Qualifications:</b></p><ul><li><p>
4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</p></li></ul><p><b><br>
Desired Qualifications:</b></p><ul><li><p>
4+ years of experience with Apache Spark, ETL(Ab Initio/Informatica/Data Stage), DBMS(Teradata/SQL Server), Java/Python/Scala(Programming language), Cloud essentials</p></li><li><p>
3+ years of Teradata and Unix experience</p></li><li><p>
2+ years of Data Engineering experience using Cloud Technologies, preferably with GCP &ndash; Google Cloud</p></li><li><p>
2+ years of AI technology implementations</p></li><li><p>
2+ years of experience with Agile</p></li><li><p>
2+ years of experience using Database Tools: Teradata, Load / Unload Utilities, Big Query</p></li><li><p>
Strong analytical skills with high attention to detail and accuracy</p></li><li><p>
Excellent verbal, written, and interpersonal communication skills</p></li><li><p>
Advanced SQL experience</p></li><li><p>
Advanced Microsoft Excel skills using power query</p></li><li><p>
Technical application support experience</p></li><li><p>
Ability to research, trend, analyze and model data</p></li><li><p>
Customer service focused with experience actively listening, eliciting information, comprehending customer issues/needs, and recommending solutions</p></li><li><p>
Ability to act as a liaison between the client area and technical organization</p></li><li><p>
Effective organizational, multi-tasking, and prioritizing skills</p></li><li><p>
Solid knowledge and understanding processes, procedures, and technologies</p></li></ul><p><b><br>
Job Expectations:</b></p><ul><li><p>
Ability to work in a fast-paced environment</p></li><li><p>
Ability to understand business requirements and translate into data models and solutions that efficiently meet customer needs</p></li><li><p>
Works quickly and independently to meet required sprint objectives</p></li><li><p>
Actively participates in cross-team meetings and is excited to share knowledge for broader team improvement</p></li></ul><p></p><p><b>
Posting End Date:</b></p><p></p>
2 Aug 2026<ul><li><b><i>Job posting may come down early due to volume of applicants.</i></b></li></ul><p></p><p><b>
We Value Equal Opportunity</b></p><p></p><p>
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.</p><p></p><p>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.</p><p></p><p>
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.</p><p></p><p><b>
Applicants with Disabilities</b></p><p></p><p>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.</p><p></p><p><b>
Drug and Alcohol Policy</b></p><p></p><p><br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.</p><p></p><p><b>
Wells Fargo Recruitment and Hiring Requirements:</b></p><p></p><p>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.</p><p>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</p></div><p></p>

The Museum of Modern Art

<div><p>The Museum of Modern Art is seeking an experienced Senior Data Engineer to be the technical owner of our data engineering team and the primary point of contact for departments and data analysts who rely on our data warehouse. This role guides and mentors the data engineers on technical standards and best practices, owns the relationship with stakeholders to make sure the data warehouse meets their needs, and serves as the resident expert on our data&mdash;how it is structured, how it relates, and how it should be used. This role requires a strong technical background, excellent problem-solving skills, and strong communication skills.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Serves as the technical anchor and mentor for the data engineering team, setting standards, reviewing work, and guiding design and architecture decisions.</li>
<li>Owns the relationship with other departments and data analysts, gathers their data needs, and ensures the data warehouse supports them.</li>
<li>Acts as the subject-matter expert on our data, advising analysts on how data is structured, how sources relate, and how best to query it.</li>
<li>Designs, develops, and maintains the data warehouse in Google Cloud Platform (GCP), ensuring scalability, performance, and reliability.</li>
<li>Builds and manage robust ELT pipelines to extract, transform, and load data from various sources into the data warehouse.</li>
<li>Defines and maintains data models that make data consistent and easy to understand for analysts and business users.</li>
<li>Manages and maintains databases, including MS SQL Server and PostgreSQL, ensuring data integrity and security.</li>
<li>Develops and maintains small software applications to support data management tasks and improve operational efficiency.</li>
<li>Collaborates with stakeholders to gather data requirements and translate them into technical solutions.</li>
<li>Troubleshoots data-related issues and provides timely solutions to ensure data availability and accuracy.</li>
<li>Stays up-to-date with the latest data engineering technologies and best practices, and shares them with the team.</li>
<li>Performs any other duties reasonably related to the functions described above.</li>
</ul>
<p><b>Requirements:</b></p>
<ul>
<li>Bachelor's or Master's degree in Computer Science or a related field.</li>
<li>Minimum of four years of experience as a Data Engineer with a strong understanding of data warehousing concepts and best practices.</li>
<li>Ability to guide and mentor other engineers and influence technical direction.</li>
<li>Proven experience partnering with analysts and stakeholders to understand their needs and translate them into data solutions.</li>
<li>Strong data modeling skills and the ability to explain how data relates and how it should be used.</li>
<li>Hands-on experience with GCP cloud services, including BigQuery, Cloud Storage, and Dataflow.</li>
<li>Proficiency in SQL and experience with database management systems such as MS SQL Server and PostgreSQL.</li>
<li>Experience building and maintaining ETL pipelines using tools like Apache Airflow or Google Cloud Composer.</li>
<li>Proficiency with Python and pandas.</li>
<li>Experience with other programming languages and paradigms such as C#, nodeJS and Ruby.</li>
<li>Knowledge of managing Linux and Windows servers.</li>
<li>Experience with data modeling and data visualization tools.</li>
<li>Experience with software development methodologies such as Agile.</li>
<li>Familiarity with version control systems like Git.</li>
<li>Excellent problem-solving and analytical skills.</li>
<li>Strong communication and collaboration skills.</li>
</ul>
<p><b>Reports to:</b> Director of Engineering</p>
<p><b>
Salary Range:</b> Minimum of $140,000 to a maximum of $160,000 per annum</p>
<p><b>
Application instructions: </b>To apply, please visit MoMA Jobs (https://recruiting.ultipro.com/MUS1002MOMA/JobBoard/9dbfa465-a36a-46c3-b31e-4929830ab266/?q=&amp;o=postedDateDesc). Applicants should submit a resume and a cover letter/statement of interest. Applications without cover letters will not be considered.</p>
<p><i>
Equal Employment Opportunity has been, and will continue to be, a fundamental principle at the Museum, where employment is based upon personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, arrest or conviction record to the extent required by applicable law, credit history, or any other protected category as established by applicable law, including the New York City Human Rights Law (&ldquo;NYCHRL&rdquo;).</i></p><p>
Equal Opportunity Employer<br>
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</p></div>

TPx Communications

<div><div><b>General Purpose:</b></div>
<div>
The Senior Data Engineer will work as a member of the Enterprise Data and Analytics team to support leadership, Operations, Product, Sales, HR, Finance, Legal, and Marketing teams with enterprise data, analytics, and insights. The ideal candidate is experienced in analyzing data, designing and maintaining scalable, high-performance data warehouses, calculating analytics, and creating effective visualizations of metrics. This role requires strong experience across a variety of data architectures, data modeling techniques, data analysis methods, data tools, and data visualization techniques, as well as a proven ability to solve business problems through data-based solutions. The successful candidate must be comfortable working with a wide range of stakeholders and functional teams.</div>
<div>
</div><div><b>Direct Reports: No</b></div>
<div>
</div><p><b>Essential Duties and Responsibilities:</b></p>
<ul>
<li>Directly evaluates, design and maintain centralized enterprise data warehouses, data lakes, and analytics using industry-standard architecture principles and design patterns</li>
<li>Employ data warehousing best practices to design scalable data models and high-performance processes</li>
<li>Evaluates and implements efficient methods and tools to extract, transform, and load data from various sources</li>
<li>Leverage suitable algorithms, statistical methods, and libraries to compute analytics, train data sets, and produce predictive analytics</li>
<li>Use various optimization techniques to tune data structures and processes for best runtimes to maintain near real-time data refresh</li>
<li>Create dashboards and reports for data visualization using industry-standard tools and techniques</li>
<li>Develop readable, clear, easy-to-maintain code, test suites, and baseline results</li>
<li>Document and communicate analysis, design, development, testing activities, and results effectively</li>
<li>Participate in and contribute to peer review processes with team members to raise the quality and productivity of the team</li>
<li>Develop tools and processes to proactively monitor and analyze data quality, data consistency, and performance</li>
<li>Evaluate and create benchmarks on new technologies, tools, and techniques</li>
<li>Work with stakeholders throughout the organization to gather requirements and identify opportunities for leveraging data to drive business solutions</li>
</ul>
<div></div><p><b>Other Responsibilities:</b></p>
<ul>
<li>Build Relationships: Establish and maintain positive working relationships with others, both internally and externally, to achieve the goals of the organization</li>
<li>Communicate Effectively: Speak, listen, and write in a clear and thorough manner using appropriate and effective communication tools and techniques</li>
<li>Foster Teamwork: Work cooperatively and effectively with others to set goals, resolve problems, and make decisions that enhance organizational effectiveness</li>
<li>Make Decisions: Assess situations to determine importance, urgency, and risks, and make clear decisions which are timely and in the best interests of the organization</li>
<li>Organize: Set priorities, develop a work schedule, monitor progress toward goals, and track details, data, information, and activities</li>
<li>Solve Problems: Assess problem situations to identify causes, gather and process relevant information, generate possible solutions, and make recommendations and/or resolve the problem</li>
</ul>
<p><b>Required Qualifications:</b></p>
<ul>
<li>Bachelor's degree in Computer Science, related field, or equivalent experience</li>
<li>10+ years of IT and software development experience with broad exposure to various technical environments and business segments</li>
<li>10+ years of experience in database technologies such as MS SQL Server, Oracle, MS Fabric, and Snowflake</li>
<li>5+ years of experience creating effective, user-friendly data visualizations using tools such as Power BI, Tableau, OBIEE, or equivalent</li>
<li>Strong design and problem-solving skills with an emphasis on data warehouse, data quality, and analytics</li>
<li>Proficiency in data architecture, data model design, procedures, and data quality</li>
<li>Experience using statistical methods (distributions, regression, etc.) and libraries such as Python to manipulate data and draw insights from large data sets</li>
<li>Excellent written and verbal communication skills for collaboration and documentation</li>
</ul>
<p></p><p><b>Other Qualifications:</b></p>
<ul>
<li>Intrinsically motivated to learn and master new technologies and techniques to grow professionally</li>
</ul>
<div></div><p>TPx is an Equal Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy, childbirth, breast-feeding and related medical conditions), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability (including medical condition), military or veteran status, political preference, marital status, citizenship, genetic information or other status protected by law or regulation.</p>
<p>
We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please let us know during the application process.</p>
<p>
</p><p>#LI-Remote</p>
<p>
Req: #26-0081</p></div>

Senior Data Engineer (Remote)

Elliptic

<div><p><b>Do you want to help define the future of finance?</b></p><p>
Are you a strong software engineer who's passionate about data, distributed systems, and delivering impact at scale? Are you looking for a values-driven company that invests in its people and gives you the autonomy to shape critical systems, while staying close to the code?</p><p>
We're looking for a Senior Software Engineer to join Elliptic's Product-Engineering organisation, focusing on data engineering solutions that power our blockchain analytics and intelligence products. This is a hands-on engineering role: as a senior member of the team, you will spend the majority of your time designing, building, and shipping the data platform yourself, while driving the technical direction that ensures it continues to meet the growing demands of blockchain analysis.</p><p>
Challenges include building a blockchain-agnostic solution that scales globally, processing large batch and streaming datasets, and solving complex data processing problems that give our customers deep insights into the flow of value across the crypto ecosystem.</p><h2 class="jobSectionHeader"><b><br>
The impact you will have</b></h2><p>
Our data and intelligence platform sits at the heart of everything we do. As a senior engineer, you will personally design and build data systems that serve as the backbone of all Elliptic products. By collaborating across blockchain, intelligence and product teams, you will deliver innovative features that help the world fight financial crime and increase transparency in the crypto space. Very few engineering roles have such clearly measurable real-world impact.</p><p>
You will also help us excel in engineering excellence by mentoring and upskilling our highly-engaged and passionate engineers, by championing best practices, and holding yourself and your team to a high standard.</p><h2 class="jobSectionHeader"><b><br>
What you will do</b></h2><ul><li><p>
Write, ship, and maintain production code as a hands-on engineer.</p></li><li><p>
Architect, design, and implement large-scale distributed data systems and pipelines.</p></li><li><p>
Contribute to technical decision-making across batch and streaming data solutions.</p></li><li><p>
Collaborate with engineers, product managers, data scientists, and intelligence analysts to build customer-focused products.</p></li><li><p>
Explore and integrate new technologies (e.g. data orchestration or cloud-native tools) to optimise performance and scalability.</p></li><li><p>
Take shared ownership of data systems, from design to deployment and ongoing improvement and support.</p></li><li><p>
Perform thoughtful peer reviews that raise code quality and share best practices across the team.</p></li><li><p>
Contribute to platform-wide initiatives that improve reliability, observability, and cost efficiency.</p></li><li><p>
Help shape the technical roadmap for data engineering across Elliptic.</p></li><li><p>
Leverage and deploy AI and agentic systems to operate more effectively.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Tech environment</b></h2><p><b>
Scala | Spark | Databricks | AWS | Airflow | Kubernetes | Terraform | Functional Programming</b></p><h2 class="jobSectionHeader"><b>
You will thrive here if you</b></h2><ul><li><p>
Enjoy end-to-end ownership, from writing the code to architecture design to coaching others through delivery.</p></li><li><p>
Strive for engineering excellence and scalable, sustainable systems.</p></li><li><p>
Use data and experimentation to guide decisions.</p></li><li><p>
Communicate openly and collaborate across teams.</p></li><li><p>
Support and coach less-experienced engineers.</p></li><li><p>
Believe every challenge is an opportunity to simplify and innovate together.</p></li><li><p>
Enjoy working with AI to benefit the company, your team and yourself.</p></li></ul><h2 class="jobSectionHeader"><b><br>
What we are looking for</b></h2><ul><li><p><b>
Hands-on production experience with Scala and functional programming.</b></p></li><li><p>
Ability to design, build, and maintain distributed data systems in a cloud-based environment.</p></li><li><p>
Hands-on experience with big data frameworks such as Spark or Databricks.</p></li><li><p>
Knowledge of cloud infrastructure (AWS, GCP, or Azure).</p></li><li><p>
Judgement to balance scalability, performance, and maintainability.</p></li><li><p>
Experience with data modelling and workflow orchestration.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Bonus points for</b></h2><ul><li><p>
Experience in stream processing frameworks and event-driven architecture.</p></li><li><p>
Hands-on experience with Infrastructure as Code (Terraform, CloudFormation).</p></li><li><p>
Experience working in containerised environments (Docker, Kubernetes).</p></li><li><p>
Interest in AI-driven tooling for engineering workflows.</p></li><li><p>
Interest in crypto and blockchain technologies.</p></li></ul><p></p><p><b>
How we work:</b></p><ul><li><p><b>
Hybrid working:</b> The option to work from almost anywhere for up to 90 days per year.</p></li><li><p><b>
Remote Work Budget:</b> $650 budget to set up your home office space.</p></li></ul><p><b>
Learning &amp; Development:</b></p><ul><li><p><b>
L&amp;D Budget:</b> $1,000 annual Learning &amp; Development budget to use on anything (agreed with your manager) that contributes to your growth and development.</p></li></ul><p><b>
Vacation / Leave:</b></p><ul><li><p><b>
Holidays:</b> 25 days of annual leave + US Public Holidays.</p></li><li><p><b>
Birthday Leave:</b> An extra day off for your birthday.</p></li><li><p><b>
Enhanced Parental Leave:</b> We provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave.</p></li></ul><p><b>
Benefits:</b></p><ul><li><p><b>
Healthcare:</b> Comprehensive medical, dental, and vision coverage through a range of providers (including Tufts, Kaiser, Aetna, UHC, and Blue Shield of CA) with generous premium contributions for you and your dependents.</p></li><li><p><b>
401k:</b> Company match included.</p></li><li><p><b>
Mental Health:</b> Full access to <b>Spill</b> mental health support.</p></li></ul><p><br>
<br>
We know Diversity and Inclusion is much deeper than just hiring, but it&rsquo;s important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don&rsquo;t all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.<br>
<br>
No recruitment agencies please!</p><p>
Compensation Range: $165K - $305K</p></div>

Senior Software Engineer - Data

<div><p>540 is seeking a Senior Data Engineer to support a mission-critical technology modernization effort for the Department of War. You will lead the design and evolution of Databricks-based data pipelines and lakehouse capabilities that enable secure data integration, analytics, AI/ML, and operational workloads at enterprise scale.</p>
<p>
Working with engineers, architects, cybersecurity teams, and mission stakeholders, you will translate complex requirements into secure, scalable solutions using Databricks, Apache Spark, and Delta Lake. You will define engineering standards, guide technical delivery, and mentor engineers while ensuring data quality, governance, and platform reliability.</p>
<p><b>
Location</b>: Arlington, VA<br>
<b>Citizenship &amp; Clearance Requirement</b>: Per client requirements, candidates must be U.S. Citizens with an active DoW Secret (or higher) clearance<br>
<b>Education Requirement: </b>Bachelor's degree in Computer Science, Engineering, or a related technical field preferred; equivalent combinations of education and relevant experience will be considered<br>
<b>540 Internal Thrive Level: </b>Senior<b> </b>Data Engineer</p>
<p><b>
WHY 540?</b></p>
<p>
540 is a forward-thinking company that the government turns to in order to #getshitdone. We don't just talk about innovation &ndash; we deliver it. We break down barriers, build impactful technology, and solve mission-critical problems.</p>
<p><b>
HOW YOU'LL DRIVE IMPACT</b></p>
<ul>
<li>Lead the architecture and evolution of Databricks-based data pipelines and lakehouse capabilities</li>
<li>Translate mission requirements into scalable data architectures and implementation strategies</li>
<li>Define data engineering standards, reusable patterns, and best practices across engineering teams</li>
<li>Architect automated ETL/ELT pipelines using Python, SQL, PySpark, Apache Spark, and Delta Lake</li>
<li>Design scalable data models, schemas, data contracts, and medallion architecture patterns</li>
<li>Lead the development of batch and streaming capabilities supporting operational, analytical, and AI/ML workloads</li>
<li>Establish data quality, lineage, metadata, observability, and governance practices using Unity Catalog or similar technologies</li>
<li>Optimize Databricks and Spark workloads for performance, scalability, reliability, and cost efficiency</li>
<li>Establish CI/CD, infrastructure-as-code, testing, monitoring, and operational practices for Databricks environments</li>
<li>Lead design reviews and resolve complex issues spanning data pipelines, infrastructure, and production services</li>
<li>Partner with cybersecurity teams to incorporate security, access control, auditing, and governance requirements</li>
<li>Communicate architecture decisions and mentor engineers on Databricks and data engineering best practices</li>
</ul>
<p><b>REQUIRED SKILLS &amp; EXPERIENCE</b></p>
<ul>
<li>9+ years of relevant data engineering or software engineering experience</li>
<li>Experience leading enterprise-scale data platform and pipeline implementations using Databricks</li>
<li>Advanced proficiency with Python, SQL, PySpark, Apache Spark, and Delta Lake</li>
<li>Experience architecting large-scale ETL/ELT, batch, and streaming pipelines</li>
<li>Experience designing lakehouse architectures, data models, schemas, and data contracts</li>
<li>Experience managing and optimizing Databricks jobs, workflows, compute resources, and Spark workloads</li>
<li>Experience implementing data quality, monitoring, lineage, metadata management, and governance capabilities</li>
<li>Experience with Unity Catalog or similar data-governance and access-control solutions</li>
<li>Experience operating Databricks within AWS, Azure, or Google Cloud</li>
<li>Experience with CI/CD, infrastructure as code, automated testing, and source control</li>
<li>Strong understanding of data security, privacy, governance, and access-control principles</li>
<li>Experience leading technical reviews, mentoring engineers, and communicating architecture decisions</li>
</ul>
<p><b>NICE TO HAVE</b></p>
<ul>
<li>Relevant Databricks certification</li>
<li>Experience supporting DoW, federal, Advana, or other mission data environments</li>
<li>Experience building data platforms in classified, regulated, or mission-critical environments</li>
<li>Experience with Terraform, Databricks Asset Bundles, Airflow, or similar automation and orchestration tools</li>
<li>Experience architecting streaming solutions using Kafka, Kinesis, Pulsar, or Spark Structured Streaming</li>
<li>Experience supporting AI/ML pipelines, feature platforms, or MLflow</li>
<li>Currently holds, or is willing to obtain within 30 days of employment, an approved certification such as Cloud+, GSEC, Security+, or SSCP</li>
</ul>
<p><b>BENEFITS &amp; PERKS</b></p>
<ul>
<li>Flexible PTO + all Federal holidays off</li>
<li>Health, dental and vision insurance plans</li>
<li>Flexible Spending Account (FSA)</li>
<li>401k with employer match</li>
<li>Company-sponsored life insurance, short- and long-term disability</li>
<li>Professional development (training, certifications, conferences)</li>
<li>Paid cloud developer accounts</li>
<li>Referral bonuses</li>
<li>HQ office perks (parking / metro reimbursement, nitro coffee &amp; lunches)</li>
<li>Annual social events (540 Week, hackathon, charity golf tournament, etc.)</li>
<li>Access to 540's Washington Capitals &amp; Nationals tickets</li>
</ul>
<p><b>EQUAL EMPLOYMENT OPPORTUNITY (EEO)</b></p>
<p>
540's policy is to provide equal employment opportunity 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.</p>
<p>
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.</p></div>

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