financial analyst

operations analyst

data scientist

business analyst

ai engineer

data engineer

Net2Source (N2S)

<div>
 <p>
  <strong>
   Role name: Data Engineer Studio Economics
  </strong>
 </p>
 <p>
  <strong>
   Work site: Burbank, CA (Onsite local only )
  </strong>
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <strong>
   Type : W2 only
  </strong>
 </p>
 <p>
 </p>
 <p>
  &bull; Hands on experience in Data Engineering with Python
 </p>
 <p>
  &bull; Strong SQL Skillset
 </p>
 <p>
  &bull; Exp in AWS
 </p>
 <p>
  &bull; Exp in Snowflake -----
 </p>
 <p>
  &bull; Data Engineer-Seven to Ten Years,PYTHON
 </p>
 <p>
  &bull; Seven to Ten Years,Snowflake-Seven to Ten Years -----
 </p>
 <p>
  &bull; Hands-on experience with Snowflake (SQL, data modeling, views, tasks, warehouse optimization).
 </p>
 <p>
  &bull; Solid understanding of ETL/ELT concepts, data pipelines and cloud-based data platforms.
 </p>
 <p>
  &bull; Proficiency in SQL and experience working with structured datasets.
 </p>
 <p>
  &bull; Experience building data integrations between systems (APIs, connectors, ETL tools or JDBC-based pipelines).
 </p>
 <p>
  &bull; Familiarity with source control tools (Git) and collaborative development practices.
 </p>
 <p>
  &bull; Strong problem-solving skills, attention to detail and ability to work independently.
 </p>
</div>


Data Engineer

COMMERCIAL BANK OF CALIFORNIA

<div><p><b>Data Engineer</b></p><p><b>
Location:</b> Irvine, CA<br>
<b>Job Type:</b> Full-Time | Exempt | Hybrid Eligible<br>
<b>Salary Range:</b> $150,000 &ndash; $170,000 per year</p><p><b>
About Commercial Bank of California</b></p><p>
Commercial Bank of California (CBC) is the largest Latino-owned bank in California and a certified Minority Depository Institution (MDI). Headquartered in Irvine and founded in 2003, CBC is one of the largest privately held banks in the state, with over $3.5 billion in assets as of December 2025.</p><p>
We are a purpose-driven financial institution committed to building long-term relationships and delivering innovative, personalized banking solutions. Our leadership reflects the diverse communities we serve, and our mission is rooted in empowering entrepreneurs, business owners, and community leaders to thrive.</p><p>
As a certified MDI, CBC is proud to play a vital role in advancing financial inclusion and economic opportunity. We believe in a higher vision for banking&mdash;one that prioritizes trust, collaboration, and community impact. Join us and be part of a team that&rsquo;s redefining what it means to be a community-focused, relationship-driven bank that puts people over profits.</p><p><b>
Job Summary</b></p><p>
The Data Engineer is responsible for designing, building, and operating modern, scalable, and governed data platforms that enable enterprise analytics, reporting, and advanced data use cases. With 10+ years of hands on data engineering experience, this role acts as a senior individual contributor and technical leader, owning data architecture, pipelines, governance, and analytics ready data models across cloud platforms.</p><p>
This role has a strong emphasis on analytics engineering, ensuring that data is not only ingested and processed, but modeled, curated, and governed for high quality business intelligence and analytical consumption. You will work extensively with Microsoft Fabric, Azure Databricks, Unity Catalog, and lakehouse technologies.</p><p><b>
Essential Duties and Responsibilities</b></p><p>
Data Platform &amp; Architecture</p><div><ul><li>
Architect and maintain enterprise‑scale data platforms using Microsoft Fabric, Azure Data Lake, Azure Synapse, and Azure Databricks.</li><li>
Design and implement lakehouse architectures and analytics‑optimized data layers to support BI, self‑service analytics, and advanced reporting.</li><li>
Define platform standards for data ingestion, transformation, storage, and analytics consumption across the organization.</li></ul></div><p>
Data Engineering &amp; Pipelines</p><div><ul><li>
Build, optimize, and operate reliable batch and streaming data pipelines using Databricks, Fabric Data Pipelines, and Azure‑native services.</li><li>
Implement scalable ETL/ELT frameworks with strong data quality, validation, and observability.</li><li>
Ensure pipelines are resilient, performant, and cost‑efficient in production environments.</li></ul></div><p>
Analytics Engineering &amp; Data Modeling</p><div><ul><li>
Design and maintain analytics‑ready data models (star, snowflake, and dimensional models) to support Power BI and enterprise BI use cases.</li><li>
Develop curated, trusted datasets and semantic layers that enable consistent metrics and reporting across the business.</li><li>
Partner closely with analysts, BI developers, and business stakeholders to translate analytical requirements into scalable data solutions.</li></ul></div><p>
Governance, Security &amp; Unity Catalog</p><div><ul><li>
Implement and manage Databricks Unity Catalog for centralized data governance, lineage, access control, and auditing.</li><li>
Enforce best practices for data security, role‑based access, and data classification across platforms.</li><li>
Ensure compliance with enterprise data governance and regulatory requirements.</li></ul></div><p>
DevOps, CI/CD &amp; Reliability</p><div><ul><li>
Design and manage CI/CD pipelines for data engineering workloads using Azure DevOps.</li><li>
Apply best practices for version control, automated testing, environment promotion, and deployment.</li><li>
Monitor production data systems to ensure high availability and operational stability.</li><li>
Experience in databricks asset bundles (DAB) is preferred</li></ul></div><p>
Cross‑Platform &amp; Modern Analytics Experience</p><div><ul><li>
Work across modern analytics ecosystems, integrating Azure‑based platforms with other cloud data technologies as needed.</li><li>
Leverage experience with Snowflake (architecture, data modeling, performance optimization) as a plus in hybrid or multi‑platform analytics environments.</li></ul></div><div><b>
Minimum Qualifications</b></div><div><ul><li>
10+ years of experience in data engineering, analytics engineering, or data platform development.</li><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or a related field (Master&rsquo;s preferred).</li><li>
Deep hands‑on experience with:<ul><li>
Microsoft Fabric (Lakehouse, OneLake, Data Pipelines, Semantic Models)</li><li>
Azure Databricks, including Unity Catalog</li><li>
Data modeling for analytics and BI</li><li>
Azure DevOps (CI/CD, Git, automated deployments)</li><li>
Business Intelligence platforms, especially Power BI</li></ul></li><li>
Advanced proficiency in SQL and strong experience with Python / Spark‑based development.</li><li>
Proven ability to deliver analytics‑ready, production‑grade data solutions.</li></ul></div><p><b>
Preferred Qualifications</b></p><div><ul><li>
Experience with Snowflake (data modeling, analytics workloads, performance tuning) a plus.</li><li>
Background in financial services or regulated enterprise environments.</li><li>
Experience supporting self‑service analytics and governed data democratization.</li><li>
Snowflake experience considered a strong plus.</li><li>
Familiarity with data quality, metadata management, and lineage tooling.</li><li>
Microsoft certifications such as:</li><li>
Azure Data Engineer Associate (DP‑203)</li><li>
Microsoft Fabric Analytics Engineer (preferred)</li></ul></div><p><b>
Benefits &amp; Perks</b></p><div><ul><li>
Competitive employer contribution to medical, dental and vision coverage</li><li>
401k plan with employer match</li><li>
Flexible Spending Accounts (FSA) and Dependent Care Accounts</li><li>
Employee Assistance Program (EAP)</li><li>
Employer provided Calm subscription</li><li>
Employer provided mental health benefits through Teladoc</li><li>
Life, AD&amp;D and disability insurance</li><li>
Minimum 15 Days of Vacation, 11 Paid Federal Holidays, Paid Time off to Volunteer</li><li>
Online discount program</li><li>
Tuition Reimbursement Program</li></ul></div><p><b>
Join Our Team!</b></p><div><ul><li>
Submit your resume to Apply to Your Position Here</li></ul></div><p><b>
Equal Employment Opportunity &amp; Accommodations</b></p><p>
Commercial Bank of California is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified individuals will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other legally protected characteristic.</p><p>
We evaluate applicants fairly and equitably, including those with criminal histories, in accordance with applicable federal, state, and local laws.</p><p>
Commercial Bank of California is also committed to providing reasonable accommodations to individuals with disabilities. If you require a reasonable accommodation during the application or interview process, please contact us at <b>hr@cbcal.com</b> with the nature of your request and your contact information.</p><p></p><p><b><br>
Recruitment Policy</b></p><p>
Commercial Bank of California does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to CBC, either directly or indirectly, will be considered the property of Commercial Bank of California.</p><p>
We will not pay a fee for any placement resulting from the receipt of an unsolicited resume. To submit candidates for consideration, recruiting agencies must have a valid, written, and fully executed agreement with Commercial Bank of California. Without such an agreement in place, no agency submissions will be accepted or compensated.</p></div>

Platinum Technologies

<div><div><b>Who we are!</b></div>
<div>Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high-quality work products &ndash; we want to hear from you.</div>
<div></div>
<div>We lead with technical expertise, but that is just the tip of the iceberg &ndash; the &lsquo;Why&rsquo; matters. At Platinum, we don&rsquo;t hire people to do a job. We provide professional and leadership development to complement our self-motivated domain experts. Our teammates are dot-connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients.</div><br>
<div></div>
<div></div>
<div><b>You.</b></div>
<div>Platinum Technologies is seeking a Data Engineer to join our company.</div>
<div>We&rsquo;re seeking a highly technical Data Engineer to drive the massive data discovery and classification effort. Before data can be protected, it must be found and understood. You will be responsible for illuminating &quot;dark data&quot; across the Command&rsquo;s complex information environment, ranging from hyperscale cloud data lakes on NIPR to legacy file shares and isolated storage arrays on the SIPR and Top-Secret networks.</div>
<div></div>
<div>As a Data Engineer, you will architect and manage the deployment of advanced discovery platforms, specifically BigID and NetApp BlueXP. You will configure these tools to crawl petabytes of structured (SQL/Oracle), semi-structured (logs/NoSQL), and unstructured (SharePoint/File Shares) data. Your primary mission is to build the &quot;Global Data Inventory&rdquo;, a dynamic, real-time map of where sensitive CUI and classified intelligence resides, enabling the security teams to apply precision protection. You will use your knowledge of data pipelines and storage infrastructure to ensure that scanning operations provide 100% visibility without degrading network performance.</div>
<div></div>
<div><b>This role requires an active Top Secret/SCI. The position will be in Tampa, Florida.</b></div>
<div></div>
<div><b>What you get to do.</b></div>
<ul><li>Deploy and manage BigID and NetApp BlueXP scanners across hybrid environments, including configuring dockerized collectors for air-gapped discovery on the Top-Secret network.</li></ul>
<ul><li>Connect discovery tools to enterprise databases (SQL Server, Oracle, PostgreSQL) to scan schemas and columns for PII, DoD ID numbers, and other sensitive indicators without impacting database performance.</li></ul>
<ul><li>Configure scans for massive file repositories (NetApp NAS, QNAP, SharePoint On-Premises), optimizing scan windows and throttling to prevent latency for mission users.</li></ul>
<ul><li>Utilize Microsoft Purview Data Map and custom connectors to inventory data residing in AWS S3 buckets, Azure Blobs, and Data Lakes.</li></ul>
<ul><li>Collaborate with mission owners to train Machine Learning (ML) classifiers to recognize unique data types (e.g., mission names, operational codes) and reduce false positive rates in the data inventory.</li></ul>
<div></div>
<div><b>Requirements.</b></div>
<ul><li>Active Top-Secret/SCI clearance</li></ul>
<ul><li>CompTIA Security+ CE (or higher) to meet DoD 8570 IAT Level II requirements.</li></ul>
<ul><li>Proven experience deploying and managing enterprise data discovery and governance platforms such as BigID, Varonis, NetApp BlueXP (Data Sense), or Informatica.</li></ul>
<ul><li>Strong understanding of storage protocols (NFS, SMB/CIFS, S3) and database structures (SQL, NoSQL) to troubleshoot connectivity and scanning access.</li></ul>
<ul><li>Proficiency with Kubernetes and Docker, as many modern discovery collectors are deployed as containerized microservices.</li></ul>
<ul><li>Experience dealing with large-scale data inventories (Petabyte scale) and understanding of data lineage and provenance concepts.</li></ul>
<ul><li>Journeyman Experience:</li></ul>
<div>A Journeyman labor category has 3 to 10 years of experience and a BA/BS or MA/MS degree. A Journeyman labor category typically performs all functional duties independently.</div>
<ul><li>Senior Experience:</li></ul>
<div>A Senior labor category has over 10 years of experience and a MA/MS degree. A Senior labor category typically works on high-visibility or mission critical aspects of a given program and performs all functional duties independently. A Senior labor category may oversee the efforts of less senior staff and/or be responsible for the efforts of all staff assigned to a specific job.</div>
<div></div>
<div>The Company is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information.</div><br>
<div></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

The Bunton Real Estate Co.

<p><b>Job Overview</b>  <br/>We are seeking a dynamic and innovative Data Engineer to join our team and drive the development of robust data solutions that empower data-driven decision-making. In this role, you will design, build, and maintain scalable data pipelines and architectures, leveraging cutting-edge technologies to handle large volumes of data efficiently. Your expertise will enable seamless integration of diverse data sources, optimize data storage, and facilitate advanced analytics to support strategic initiatives across the organization. If you thrive in a fast-paced environment and are passionate about transforming complex data into actionable insights, this opportunity is for you!</p><p><b>Duties</b></p><ul><li>Develop and implement scalable ETL (Extract, Transform, Load) processes using tools like Informatica, Talend, and custom scripting to ensure high-quality data flow across systems  </li><li>Design and maintain data warehouses and lakes utilizing platforms such as Azure Data Lake, Hadoop, and Apache Hive to support analytics and reporting needs  </li><li>Build and optimize data pipelines using Spark, Python, Java, and Bash scripting for efficient processing of big data workloads  </li><li>Collaborate with cross-functional teams to integrate linked data sources and develop RESTful APIs for seamless data access  </li><li>Perform database design and management with Microsoft SQL Server, Oracle, and other relational databases to ensure data integrity and performance  </li><li>Support model training activities by preparing datasets, implementing feature engineering techniques, and ensuring data quality for machine learning projects  </li><li>Conduct analysis skills assessments to identify opportunities for process improvements and automation within the data ecosystem  </li><li>Participate in Agile development cycles to deliver iterative enhancements aligned with business priorities</li></ul><p><b>Requirements</b></p><ul><li>Proven experience designing and managing large-scale big data solutions using Hadoop ecosystem components such as Apache Hive and Spark  </li><li>Strong proficiency in SQL programming with Microsoft SQL Server, Oracle, or similar relational databases  </li><li>Hands-on experience with cloud platforms like AWS (Amazon Web Services) and Azure Data Lake for scalable storage solutions  </li><li>Expertise in ETL tools including Informatica, Talend, or equivalent frameworks; familiarity with Shell Scripting (Bash) is a plus  </li><li>Proficiency in programming languages such as Python and Java for developing robust data processing applications  </li><li>Knowledge of linked data concepts and experience integrating diverse datasets from multiple sources  </li><li>Familiarity with analytics tools like Looker for creating insightful dashboards and reports  </li><li>Understanding of database design principles to develop efficient data warehouses supporting enterprise analytics  </li><li>Experience working within Agile methodologies to deliver continuous value through iterative development cycles  </li><li>Strong analysis skills to interpret complex datasets and translate findings into actionable insights</li></ul><p>Join us as a Data Engineer to be at the forefront of transforming raw data into strategic assets! Your expertise will help shape innovative solutions that drive business growth while working in a collaborative environment that values your technical prowess. Embark on a journey where your skills make a real impact&mdash;apply today!</p><p>Pay: $120,629.77 - $145,274.56 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul><p>Work Location: Remote</p>

BW Design Group

<div>
 <strong>
  Who You&rsquo;ll Work With
  <br/>
  <br/>
 </strong>
 You will join one of our 45 offices in the US, be part of a committed team of over 1500 professionals, and work in teams and directly with our clients doing work that is shaping the world around us. You will be welcomed into a rapidly growing business and team and empowered to make an impact. You will be valued, cared for, and challenged on your path to becoming a world-class professional consultant and surrounded by leaders who are committed to creating an environment that enables you to realize your own success and fulfillment.
 <br/>
 <br/>
 When you join Design Group as a Data Engineer, you are joining a team that will challenge you and position you for growth. In this role, you will work with a team of industry experts to help the world&rsquo;s leading companies solve their most difficult problems. You will partner with seasoned leaders, technical specialists, and subject matter experts to deliver the highest quality solutions to our clients with consistency and accuracy.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain cloud data infrastructure leveraging technologies like Azure SQL Database, Azure Data Lakes, and Azure Synapse Analytics, and DuckDB to enable advanced analytics (AWS experience is acceptable)
  </li>
  <li>
   Build scalable cloud data solutions and pipelines for big data sources and large datasets using services like Azure Synapse Spark Pools, Azure Data Pipelines, Azure Data Lakes, Spark Notebooks, and DBT
  </li>
  <li>
   Create optimized data models, efficient ETL/ELT logic, transformations, and metadata to structure and relate data for business insights.
  </li>
  <li>
   Automate and schedule regular data integrations from transactional systems, on-prem data warehouses, enterprise databases and SaaS applications into high performance cloud data platforms.
  </li>
  <li>
   Implement data quality checks, validation processes, error handling, partitioning, security, and resilience capabilities into data solutions based on requirements.
  </li>
  <li>
   Support migration initiatives to move on-premises data and BI systems into cloud data lakehouses, data lakes and other cloud analytics services.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   0-2 years&rsquo; experience as a data engineer, ETL developer, or similar role (internships experience included).
  </li>
  <li>
   Experience with cloud data technologies (Azure preferred) such as Azure Synapse Analytics and Spark Pools.
  </li>
  <li>
   Strong expertise with SQL and Python. Exposure to DAX and M preferred.
  </li>
  <li>
   Familiarity with PowerBI or Tableau is a plus.
  </li>
  <li>
   Experience utilizing structured and unstructured data.
  </li>
  <li>
   Knowledge of data modeling, warehousing principles, ETL/ELT, and metadata standards.
  </li>
  <li>
   Understanding of CI/CD pipelines and DevOps processes is a plus.
  </li>
  <li>
   Ability to relate data opportunities to business needs.
  </li>
  <li>
   Strong communication, collaboration, curiosity, and perseverance skills.
  </li>
  <li>
   Analytical mindset with problem solving and troubleshooting skills.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Analytics, Information Systems or similar field required.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Our culture and commitment to our people is what sets us apart. We foster an environment of mutual respect, integrity, and unconditional interest in the individual and collective success of our professionals. Our model and entrepreneurial mindset offer a rewarding, challenging, and highly flexible path. As a Data Engineer, you will build a meaningful and fulfilling career with the support of professional development resources and mentorships including our First Year Experience program, Individual Development Plans, and Career Path resources and tools. You will be surrounded by exceptional talent who will support your development as both a world-class professional and a highly effective leader.
 <br/>
 <br/>
 <strong>
  Additional Job Description
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Builds infrastructures that collect and process data according to company needs
  </li>
  <li>
   Scales and builds out infrastructure to extract meaningful data
  </li>
  <li>
   Designs, develops and implements statistical models to carry out various aspects of classification and information extraction from data
  </li>
  <li>
   Leverages existing data infrastructure to fulfill all data-related requests; maintain data models
  </li>
  <li>
   Analyze data to spot anomalies, trends and correlate similar data sets.
  </li>
  <li>
   Troubleshoots and identifies possible solutions
  </li>
  <li>
   Other duties as assigned
  </li>
 </ul>
</div>


Brinkmann Constructors

<div><h2 class="jobSectionHeader"><b>Overview
</b></h2><div><div><div><div>Brinkmann Constructors is seeking a skilled Data Engineer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and infrastructure to support our construction operations, analytics, and business intelligence initiatives. This role requires a detail-oriented professional with strong technical expertise and a passion for leveraging data to drive business decisions.</div><br>
<div></div>
</div></div></div><h2 class="jobSectionHeader"><b>Responsibilities
</b></h2><div><div><div><ul><li>Design, build, and maintain reliable data pipelines, ETL processes, and data integration solutions for Microsoft Fabric</li><li>
Create secure data connectors to consume API data, handle pagination, rate limiting and authentication</li><li>
Develop and manage data architecture and databases to ensure data accuracy and availability.</li><li>
Work closely with stakeholders to understand data needs and translate business requirements into technical solutions.</li><li>
Ensure data quality, consistency, and security across all platforms.</li><li>
Optimize data workflows and troubleshoot data-related issues as they arise.</li><li>
Collaborate with IT, analytics, and project management teams to support reporting and dashboarding efforts.</li><li>
Stay current with industry trends and best practices in data engineering, construction technology, and cloud platforms.</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>Qualifications
</b></h2><div><div><div><ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>
2+ years of professional experience in data engineering, data warehousing, or a similar role with Microsoft Fabric.</li><li>
Knowledge of data visualization tools such as Power Bi</li><li>
Proficiency in T-SQL, Python, PySpark and/or other relevant programming languages.</li><li>
Strong understanding of ETL pipelines, Medallion Architecture (Bronze, Silver, Gold)</li><li>
Experience working with cloud data platforms (e.g., AWS, Azure, Google Cloud) is a plus.</li><li>
Problem-solving skills and attention to detail.</li><li>
Excellent communication and collaboration abilities.</li></ul><div><b>
Working Conditions:</b></div><ul><li>
The Data Engineer's work is primarily performed indoors at Brinkmann&rsquo;s corporate office</li><li>
This role requires regular office hours</li><li>
Light physical effort is required, including the handling of objects up to 10 pounds</li><li>
Standing, walking, sitting, talking and/or hearing</li></ul><div></div><div><br>
At Brinkmann Constructors, our passion for people means investing in their financial, mental, and physical well-being. Which is why we strive to provide our employee owners with comprehensive and cost-effective options that reflect Brinkmann&rsquo;s commitment to health and wellness.</div><div></div><div><b><br>
WE BUILD YOUR FINANCIAL FUTURE</b></div><ul><li>
100% employee ownership (ESOP)</li><li>
annual bonus program</li><li>
company-contributed 401K</li><li>
competitive salary with annual merit increase</li></ul><div><b>
WE BUILD YOUR CAREER</b></div><ul><li>
continuing education reimbursement</li><li>
performance tools for added clarity of expectations and responsibilities</li><li>
annual performance reviews</li><li>
dedicated ambassador for assimilation into Brinkmann culture</li></ul><div><b>
WE BUILD YOUR HEALTH AND WELLNESS</b></div><ul><li>
comprehensive medical, dental, and vision plans with HSA</li><li>
paid parental leave</li><li>
work-life balance</li><li>
seven paid holidays plus three floating holidays to celebrate what holidays are important to you</li><li>
paid birthday off</li><li>
family-oriented work environment</li><li>
service awards with paid sabbaticals and milestone bonuses</li><li>
a positive and collaborative work environment</li><li>
healthy lifestyle rewards</li></ul><div><b>
WE BUILD COMMUNITY</b></div><ul><li>
community involvement</li><li>
team building events</li><li>
local volunteer opportunities</li><li>
non-profit support and fundraising</li></ul><div>
No agency submissions will be accepted.</div><div></div><div><br>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.</div><div></div><div><br>
#LI-RL1</div></div></div></div></div>

MetroStar

<div>
 <p>
  As
  <strong>
   Data Engineer
  </strong>
  , you&rsquo;ll design and maintain scalable data pipelines and cloud-based data platforms that support advanced analytics and machine learning workloads. You will also leverage Python, distributed data processing frameworks, and AWS services to ingest, transform, and manage structured and unstructured data across a variety of sources. The ideal candidate will collaborates with engineers and stakeholders to build reliable data architectures, ensuring efficient data access, integration, and performance in production environments.
 </p>
 <p>
  We know that you can&rsquo;t have great technology services without amazing people. At MetroStar, we are
  <strong>
   obsessed
  </strong>
  with
  <strong>
  </strong>
  our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.
 </p>
 <p>
  If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!
 </p>
 <p>
  <strong>
   What you&rsquo;ll do:
  </strong>
 </p>
 <ul>
  <li>
   Design and implement data ingestion, transformation, and enrichment pipelines across multiple concurrent projects with varying data modalities (time-series sensor data, video, images, documents, and metadata).
  </li>
  <li>
   Develop and manage cloud-native data services including object storage workflows, vector database integration, and structured data warehousing to support multi-modal AI/ML systems.
  </li>
  <li>
   Work closely with AI/ML engineers to operationalize data pipelines that feed training, inference, and retrieval-augmented generation (RAG) workloads in production.
  </li>
  <li>
   Establish data quality, lineage, and governance practices across projects that are maturing from prototype to product, bringing structure and repeatability to evolving data ecosystems.
  </li>
  <li>
   Support the processing and organization of unstructured data (video files, PDFs, technical manuals) into formats suitable for embedding generation, semantic search, and summarization.
  </li>
  <li>
   Present technical approaches and data architecture decisions to both technical teammates and non-technical stakeholders.
  </li>
 </ul>
 <p>
  <strong>
   What you&rsquo;ll need to succeed:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's Degree in Computer Science, Data Science, Information Systems, Engineering, or a comparable technical discipline.
  </li>
  <li>
   An active Secret clearance or the ability to obtain
  </li>
  <li>
   2-4+ years of professional experience in data engineering, data platform development, or a closely related technical role.
  </li>
  <li>
   Relevant cloud or data engineering certifications are a plus (e.g., AWS Certified Data Engineer, Databricks Data Engineer Associate, AWS Solutions Architect, or equivalent)
  </li>
  <li>
   Strong proficiency in Python for data engineering (scripting, pipeline development, data transformation).
  </li>
  <li>
   Experience designing and building ETL/ELT pipelines for structured and semi-structured data in cloud environments.
  </li>
  <li>
   Experience with AWS cloud services for data workflows (S3, RDS, DynamoDB, EC2/ECS, and related services).
  </li>
  <li>
   Hands-on experience with at least one distributed data processing framework (Databricks, Spark, Dask, Ray, or equivalent).
  </li>
  <li>
   Demonstrated ability to work with diverse data modalities (time-series, sensor telemetry, image, video, unstructured text).
  </li>
  <li>
   Experience with SQL and data warehousing concepts (schema design, partitioning, incremental processing).
  </li>
  <li>
   Strong experience with data pipeline orchestration, scheduling, and monitoring in production environments.
  </li>
  <li>
   Experience building data pipelines that ingest, transform, or serve data through RESTful APIs.
  </li>
  <li>
   Strong communication skills with the ability to explain data architecture decisions to both ML engineers and non-technical stakeholders.
  </li>
 </ul>
 <p>
  <strong>
   This role is hybrid, with a requirement to be in our Reston HQ office a minimum of 3 days/week.
  </strong>
 </p>
 <p>
  SALARY RANGE: &nbsp;$119,000 - 129,000
 </p>
 <p>
  The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including:&nbsp;
 </p>
 <ul>
  <li>
   The candidate's professional background and relevant work experience
  </li>
  <li>
   The specific responsibilities of the role and organizational needs
  </li>
  <li>
   Internal equity and alignment with current team compensation
  </li>
  <li>
   This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include:
  </li>
  <ul>
   <li>
    Performance-based bonuses
   </li>
   <li>
    Company-paid training and/or certifications
   </li>
   <li>
    Referral bonuses
   </li>
  </ul>
 </ul>
 <p>
  <em>
   To apply for this position, please submit your resume via the form below or through our careers page:&nbsp;https://www.metrostar.com/jobs/
  </em>
 </p>
 <p>
  <strong>
   Application Deadline:&nbsp;
  </strong>
  Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration.
 </p>
 <p>
  <strong>
   Additional Compensation
  </strong>
  : This role may also be eligible for bonuses and/or additional incentives based on individual and company performance.
 </p>
 <p>
  <strong>
   Benefits
  </strong>
  : All full-time employees are eligible to participate in our benefits programs:
 </p>
 <ul>
  <li>
   Health, dental, and vision insurance
  </li>
  <li>
   401(k) retirement plan with company match
  </li>
  <li>
   Paid time off (PTO) and holidays
  </li>
  <li>
   Parental Leave and dependent care
  </li>
  <li>
   Flexible work arrangements
  </li>
  <li>
   Professional development opportunities
  </li>
  <li>
   Employee assistance and wellness programs
  </li>
 </ul>
 <p>
  Like we said,
  <strong>
   we are
  </strong>
  big fans of our people. That&rsquo;s why
  <strong>
   we offer
  </strong>
  a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.
 </p>
 <p>
  <strong>
   Commitment to Non-Discrimination
   <br/>
  </strong>
  All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.
 </p>
 <p>
  &nbsp;
  <strong>
   What we want you to know:
  </strong>
 </p>
 <p>
  In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
 </p>
 <p>
  &nbsp;
  <strong>
   Not ready to apply now?&nbsp;
  </strong>
 </p>
 <p>
  Sign up to join our newsletter here.
 </p>
</div>


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