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CENTEGIX

<div>Description:
<p><i>
CENTEGIX&reg; is the industry leader in wearable safety technology for healthcare, education, government, and commercial workplaces with over 700,000 badges in use. The cloud-based CENTEGIX Safety Platform&trade; initiates the fastest response time for emergencies, from the everyday to the extreme. Leaders in over 15,000 locations nationwide trust CENTEGIX's innovative safety solutions to empower and protect people (every day).</i></p><p>
Purpose:</p><p>
We are seeking a Data Engineer to join our Software Development team. You will maintain and improve our product data pipeline, help the team analyze data, enforce data hygiene, and implement best practices of data governance or our product data.</p><p>
Reliable, high quality data is essential for sound decisions and accurate forecasts. As part of the data engineering domain, the Data Engineer ensures trusted product data reaches the right people across the organization, from Customer Service and Product to Operations, so we deliver a high quality customer experience.</p><p>
Position Responsibilities:</p><ul><li>
Building, maintaining, monitoring, troubleshooting, and improving data pipelines using a variety of ETL tools</li><li>
Identifying and addressing data consistency and integrity issues</li><li>
Completing data change requests where self-service options do not exist</li><li>
Understanding our product, its data stores, and data pipelines to assist others in answering questions</li><li>
Understanding and enforcing data governance policies</li><li>
Leading the implementation of small projects</li><li>
Supporting junior team members when appropriate</li><li>
Communicating effectively with cross-functional team members</li><li>
Creating and maintaining data domain documentation as needed</li></ul>
Requirements:
<ul><li>1-3 years experience in data engineering or data analyst roles</li><li>
Experience with ETL processes and tools</li><li>
Proficiency with SQL</li><li>
Proficiency with cloud data warehouses (e.g., Snowflake, Databricks, BigQuery)</li><li>
Proficiency with a variety of database products (e.g., MySQL, Postgres, MongoDB, Redis)</li><li>
Familiarity with cloud platforms (e.g., Google Cloud Platform, AWS, Azure)</li><li>
Excellent attention to detail</li><li>
Excellent communication and collaboration skills</li><li>
Ability to adapt to evolving technologies and business processes</li><li>
(Bonus) Familiarity with Python</li></ul><p><b>
What&rsquo;s in it for you?</b></p><ul><li>
Remote first work environment; we offer workplace flexibility</li><li>
Participation in company wide discretionary bonus (2026 eligible)</li><li>
15 days paid time off(prorated)</li><li>
11 paid holidays</li><li>
Monthly device(s) reimbursement</li><li>
Up to $2500/year reimbursement for eligible education expenses</li><li>
We offer a range of Healthcare plans to meet your needs (medical, dental, vision)</li><li>
401(k) Plan with 4% employer contribution to help you plan for the future</li><li>
Employee Referral Bonus</li><li>
Charitable Program Match</li></ul><p>
CENTEGIX is an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at CENTEGIX are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, or any other status protected by the laws or regulations in the locations where we operate</p></div>

Data Engineer

Qode

<b>About the Role:</b> We are looking for an enthusiastic Campus Data Engineer who is eager to start a career in data engineering and analytics. The ideal candidate should have a strong academic background in computer science, data science, or related fields, with hands-on project or internship experience in data engineering concepts, cloud technologies, and programming.
<br><b>Key Responsibilities:</b> · Assist in building and maintaining data pipelines for ingestion, transformation, and storage of structured and unstructured data.· Work with big data frameworks (Hadoop, Spark, Databricks) and cloud platforms (AWS, Azure, or GCP) to process large datasets.· Support data modeling, ETL/ELT development, and performance optimization tasks.· Write clean, efficient Python/SQL code to manipulate and validate data.· Collaborate with senior engineers and analysts to deliver high-quality data solutions for business needs.· Participate in data quality checks, testing, and documentation.· Learn and adapt to new tools and technologies in the data ecosystem.
<br><b>Required Skills & Qualifications:</b> · Bachelor's or Master’s degree in Computer Science, Information Technology, Data Science, or related field.· Strong knowledge of Python, SQL, and data structures.· Familiarity with data engineering concepts such as ETL, data warehousing, and data modeling.· Exposure to big data tools (Hadoop, Spark, Hive, Kafka) through coursework or projects.· Basic understanding of cloud platforms (AWS, Azure, or GCP).· Strong analytical, problem-solving, and communication skills.

AutoNation

<div><p>AutoNation is one of the largest automotive retailers in the United States, offering innovative products, exceptional services, and comprehensive solutions, empowering our customers to make the best decisions for their needs. With a network of dealerships nationwide strengthened by a recognized brand, we offer a wide variety of new and used vehicles, customer financing, parts, and provide expert maintenance and repair services. Through DRV PNK, we have raised over $40 million for cancer-related causes, demonstrating our commitment to making a positive difference in the lives of our Associates, Customers, and the communities we serve.<br>
<br>
So what do you say? Are you ready to be part of something big?</p>
The Marketing Analytics Data Engineer will play a crucial role in supporting Marketing Analytics' effort to drive marketing insights. This role will report to the Marketing Analytics Sr. Manager of Data Engineering. They will be responsible for maintaining and developing data processes/ELT required for departmental reporting using a combination of open source and cloud-based tools. This individual will serve as the technical bridge between our data and data analysts.<p></p><p>
Job Requirements:</p><ul><li>
Work with a variety of tools to construct and maintain ELT processes for end user reporting.</li><li>
Devise solutions to improve existing processes for efficient and accurate data movement.</li><li>
Engage with key stakeholders to discern data requirements and support data related issues.</li><li>
Meet with external vendors to set up data ingestion into our Snowflake Data Warehouse.</li><li>
Build data marts using dimensional modeling for ingestion into Qlik dashboards.</li><li>
Distribute manual excel reporting on an ad hoc basis.</li><li>
Collaborate with DBA to provide technical support for any data or infrastructural issues that arise.</li></ul><p>
Qualifications:</p><ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Data Engineering/Science, Statistics, Mathematics or similar field.</li><li>
3+ years of data engineering experience</li><li>
Expertise in SQL, Python (or similar scripting language), Excel</li><li>
Experience working with Airflow or Dagster job orchestrators</li><li>
Experience working with Snowflake or similar cloud data warehouse</li><li>
Experience building data models from raw data.</li><li>
Experience designing data pipelines using various design patterns including but not limited to: Batch, Streaming and API integration</li><li>
Experience or familiarity working with the following types of data is strongly preferred: Clickstream data, web analytics, campaign metrics and customer journey.</li><li>
Familiarity with Google Analytics, Tealium, Google Ads, Facebook Ads, Bing Ads, Automotive Industry is a plus</li><li>
Familiarity with Snowflake, BigQuery, DBT, Rivery, CI/CD, Docker, Azure Datafactory is a plus</li><li>
Familiarity with front end visualization tools including PowerBI, Tableau &amp; QlikSense is a plus</li></ul><p></p><h2 class="jobSectionHeader"><b>
Exciting Benefits and Perks Await You:</b></h2><ul><li><p>
Competitive compensation and 401k matching</p></li><li><p>
Enjoy a healthy work-life balance with insurance plans (health, dental, vision) and maternity benefits.</p></li><li><p>
Associate purchase and discount programs for new and pre-owned vehicles, services, parts, collision, accessories, and AutoGear</p></li><li><p>
Access amazing deals and discounts through YouDecide, a website with offers from top providers and retailers</p></li><li><p>
Join our DRVPNK mission to raise and donate millions of dollars to cancer research and treatment, partnering with cancer charities nationwide</p></li></ul><p></p><p>
AutoNation is committed to creating a diverse, equitable, and inclusive environment in our workplace and the services we provide. We welcome candidates from all backgrounds who are passionate about making a positive impact. Even if you do not meet every requirement, we encourage you to apply. Join our team and help us foster a culture of belonging while contributing to our revolutionary work in the automotive industry. We value innovation, teamwork, and a commitment to making a positive impact in the world.</p></div>

Proofpoint

<div><div>About Us:<br>
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We&rsquo;re driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.</div><div><br>
How We Work:<br>
At Proofpoint, you&rsquo;ll be part of a global team that breaks barriers to redefine cybersecurity, guided by our BRAVE core values: Bold in how we dream and innovate, Responsive to feedback, challenges, and opportunities, Accountable for results and best-in-class outcomes, Visionary in future-focused problem-solving, Exceptional in execution and impact.</div><div></div><div>
Corporate Overview</div><div>
In today&rsquo;s cyber threat landscape, protection starts with people. At Proofpoint, that simple truth fuels our passion for protecting users, the data they create, and the systems they rely on from a uniquely people-centric perspective.</div><div>
And we are just as passionate about finding the right people to help us in that mission. When you join Proofpoint, you are helping to:</div><ul><li>
Build and enhance our proven security platform</li><li>
Blend innovation and speed in a constantly evolving cloud environment</li><li>
Analyze new threats and offer deep insight through data-driven intel</li><li>
Collaborate with customers to help solve their toughest security challenges</li></ul><div></div><div>
We are devoted to helping our customers protect their greatest assets and biggest security risk: their people. That is why we are a leader in next-generation cybersecurity&mdash;and why more than half of the Fortune 100 trust us as a security partner.</div><div></div><div>
The Role</div><div>
We are looking for a highly skilled Data Engineer to join the Customer Success organization. This individual will partner with Engineering on the data pipeline, and then use advanced SQL, Python and other languages to transform large data sets and create outputs to feed various tools used by our customer facing teams. The Data Engineer will play a critical role in enabling strategic initiatives such as Customer 360, Digital CS campaign engine, automated Product Health Diagnostics, predictive churn models and Power BI dashboards.</div><div></div><div>
This role will be a technical individual contributor reporting to the Senior Director, Strategy &amp; Operations, Customer Office.</div><div></div><div>
Your day-to-day</div><ul><li>
Collaborate closely with Engineering - Business Applications team to ensure a robust data pipeline is in place in our AWS infrastructure (e.g., S3, Lamda, Glue, Redshift)</li><li>
Partner with Customer Success subject matter experts to define data requirements and transformation logic</li><li>
Use SQL, Python, and other data processing languages to implement transformation logic to produce outputs that enable data-driven customer success initiatives</li><li>
Develop scalable, reusable code for reduce delivery time for future initiatives</li><li>
Ensure data quality, consistency, and scalability across large, complex datasets.</li></ul><div></div><div>
What you bring to the team</div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or related field.</li><li>
5+ years of experience in data engineering / analytics, preferably in a SaaS or technology company.</li><li>
Advanced knowledge of SQL and Python for data manipulation, pipeline automation, and business logic implementation.</li><li>
Experience with modern data platforms (Snowflake, Redshift, BigQuery, Databricks, or equivalent).</li><li>
Extensive hands-on use of Excel</li><li>
Strong collaboration skills with both technical and non-technical stakeholders.</li><li>
Ability to work on multiple projects at once</li><li>
Ownership mentality &ndash; proactively solving problems and assuming accountability for results</li><li>
Proven ability to thrive in a high-growth, fast-paced, dynamic environment.</li></ul><div><br>
Why Proofpoint</div><div>
Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success. We are a customer-focused and driven-to-win organization with leading-edge products&mdash;and many exciting reasons to join our team. We believe in hiring the best, the brightest and cultivating a culture of collaboration and appreciation.</div><div></div><div>
We are a diverse, multinational company with opportunities in all functions, and leaders that welcome candidates from all walks of life. Apply today and explore your future #LifeAtPFPT.</div><div></div><div>
Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you&rsquo;ll love working with us:</div><div></div><ul><li>Competitive compensation</li><li>Comprehensive benefits</li><li>Learning &amp; Development: We are committed to the growth and development of our team members, offering a range of programs including leadership and professional development workshops, stretch project assignments, and mentoring opportunities to help employees reach their full potential.</li><li>Flexible work environment: [Remote options, hybrid schedules, flexible hours, etc.].</li><li>Annual wellness and community outreach days</li><li>Always on recognition for your contributions</li><li>Global collaboration and networking opportunities</li></ul><div></div><div>
Our Culture:</div><div>
Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to <div>accessibility@proofpoint.com</div>. How to Apply Interested? Submit your application here <div>https://www.proofpoint.com/us/company/careers</div>. We can&rsquo;t wait to hear from you!</div><div>
Consistent with Proofpoint values and applicable law, we provide the following information to promote pay transparency and equity. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets as set out below. Pay within these ranges varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. The range provided may represent a candidate range and may not reflect the full range for an individual tenured employee. This role may be eligible for variable compensation and/or equity. We offer a competitive benefits package, including flexible time off, a comprehensive well-being program with two paid Wellbeing Days and two paid Volunteer Days per year, plus a three-week Work from Anywhere option.</div><div>
Base Pay Ranges:</div><div></div><div>
SF Bay Area, New York City Metro Area:</div>
Base Pay Range: 132,160.00 - 207,680.00 USD<div></div><div>
California (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, and Alaska:</div>
Base Pay Range: 109,410.00 - 171,930.00 USD<div></div><div>
All other cities and states excluding those listed above:</div>
Base Pay Range: 98,700.00 - 155,100.00 USD</div>

N2 Services Pvt Ltd

<p><b>Top Requirements: 1. Masters Degree in Relevant field 2. 5+ years of experience in the automotive industry, particularly in auto remarketing and sales3. Familiarity with machine learning libraries such as Tensorflow, Pytorch or Scikit learn4. Experience required with GCP CLoud RUn, Kubernetes, Spark, Sonarqube, GCP, Tekton, Python, API, JIRA. Hacker Assessment is NOT REQUIRED for this Position </b><br/>Position Description:<br/>Employees in this job function are responsible for designing, building, and maintaining data solutions including analytics and data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately<br/>Key Responsibilities:<br/>1) Collaborate with business and technology stakeholders to understand current and future data requirements<br/>2) Design, build and maintain reliable, efficient and scalable data infrastructure for analytics models, data collection, storage, transformation, and monitoring<br/>3) Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable workflow<br/>4) Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data<br/>5) Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks<br/>6) Ensure optimum performance and identify improvement opportunities<br/>We are seeking an experienced Data Engineer to design, implement, and maintain robust analytics pipeline solutions. These solutions will support the analysis, modeling, and prediction of upstream and downstream auction prices, directly benefiting the Business and Sales Planning Analytics (BSPA) Used Vehicle Analytics team and its customers. The ideal candidate will excel at developing solutions, maintaining DevSecOps, and collaborating with cross-functional teams to improve processes and drive business performance.<br/>Responsibilities:</p><ul><li>Develop, build and maintain infrastructure required for analytics, including data pipelines, model deployment platforms, and model monitoring.</li><li>Develop and maintain tools and libraries to support the development and deployment of models.</li><li>Automate machine learning workflows using DevSecOps principles and practices.</li><li>Collaborate with development and operations teams to implement software solutions that improve system integration and automation of analytic pipelines.</li><li>Design, develop, and manage data flows and APIs between upstream systems and applications.</li><li>Troubleshoot and resolve issues related to system communication, data flow, and data quality.</li><li>Collaborate with technical and non-technical teams to gather integration requirements and ensure successful deployment of data solutions.</li><li>Create and maintain comprehensive technical documentation of software components.</li><li>Work with IT to ensure systems meet evolving business needs and comply with data governance policies and security requirements.</li><li>Implement and enforce the highest standards of data quality and integrity across all data processes.</li><li>Manage deliverables through project management tools.</li><li>Skills Required:GCP Cloud Run, Kubernetes, Spark, SonarQube, GCP, Google Cloud Platform, Tekton, Python, API, Jira</li><li>Manage deliverables through project management tools.</li></ul><p>Experience Required:Engineer 2 Exp: 4+ years Data Engineering work experience AWSExperience Preferred:Education Required:Bachelor's DegreeEducation Preferred:Master's Degree</p><ul><li>5+ years of experience in the automotive industry, particularly in auto remarketing and sales.</li><li>Master's degree in a relevant field (e.g., Computer Science, Data Science, Engineering).</li><li>Proven ability to thrive in dynamic environments, managing multiple priorities and delivering high-impact results even with limited information.</li><li>Exceptional problem-solving skills, a proactive and strategic mindset, and a passion for technical excellence and innovation in data engineering.</li><li>Demonstrated commitment to continuous learning and professional development.</li><li>Familiarity with machine learning libraries, such as TensorFlow, PyTorch, or Scikit-learn</li><li>Experience with MLOps tools and platforms.</li></ul><p>Job Type: Contract</p><p>Pay: $50.00 - $70.00 per hour</p><p>Work Location: On the road</p>

GPRS

<p></p><div><p>GPRS is the nation&rsquo;s largest company dedicated to Intelligently Visualizing the Built World&reg; for clients throughout the U.S. What began with a single ground penetrating radar unit in the trunk of founder and President Matt Aston&rsquo;s car in 2001 has grown to a $200-million company. Our firm now encompasses every area of construction site and facility safety across virtually every industry. We offer a full suite of project visualization services to help you plan, build, and manage better</p><p><b><br>
PLAN</b> - Prevent rework and delays with accurate as-built documentation, including utility maps, 3D CAD, and BIM models.<br>
<i>Planning &amp; Design Services:</i></p><ul><li>
Reality Capture</li><li>
Existing Conditions Documentation</li><li>
3D Photogrammetry &amp; Laser Scanning</li><li>
Utility Mapping</li><li>
Clash Detection</li></ul><p><b><br>
BUILD</b> - Dig, drill, and build with certainty using precise subsurface and infrastructure data.<br>
<i>Construction Services:</i></p><ul><li>
Ground Penetrating Radar (GPR)</li><li>
Concrete Scanning</li><li>
Utility Locating</li><li>
Void &amp; Rebar Mapping</li><li>
Drone &amp; Laser Scanning</li></ul><p><b><br>
MANAGE</b> - Access up-to-date, layered facility records in SiteMap&trade;, available 24/7 and securely stored.<br>
<i>Facility &amp; Project Management Services:</i></p><ul><li>
SiteMap&trade; Platform</li><li>
Virtual Floorplan &amp; BIM Integration</li><li>
BOMA Heatmaps</li>
Historical Records<br>
<li>
</li></ul><p><br>
<b>Job Summary:</b></p><p>
The Data Engineer is responsible for designing, building, and maintaining the infrastructure and systems that enable GPRS to store and analyze large volumes of data. They work with various data technologies and tools to ensure data is accessible, reliable, and efficiently processed. Key responsibilities include creating and managing data pipelines, designing and optimizing databases, integrating data from different sources, and collaborating with stakeholders to meet business needs. Additionally, they monitor and optimize data processing systems, implement data security measures, and ensure compliance with relevant standards.</p><p>
</p><p><b>Job Goals:</b></p><ul><li>
Support the development of GPRS&rsquo; master data management and model for our key operational data.</li><li>
Assist in creating and maintaining a comprehensive master data management system that ensures the accuracy, consistency, and reliability of key operational data across the organization. This includes developing data models that support business processes and decision-making.</li><li>
Build pipelines for integrating data from various sources and manage the ETL processes necessary to provide qualified data sets at appropriate intervals (including real-time).</li><li>
Design, develop, and maintain data pipelines that extract, transform, and load (ETL) data from multiple sources into data warehouses or data leaks. Ensure that data is processed efficiently and made available at the required intervals, including real-time, to support business needs.</li><li>
Partner with business unit stakeholders to define and optimize the data processing systems to the appropriate quality measures.</li><li>
Collaborate with stakeholders from various business units to understand their data requirements and ensure that data processing systems are designed and optimized to meet these needs. Implement quality measures to ensure data accuracy, consistency, and reliability, and continuously improve data processing workflows.</li></ul><p><b><br>
Job Responsibilities:</b></p><ul><li>
Support GPRS&rsquo; definition and build-out of a Master Data Management system, including data governance, integration, quality, and system design and architecture</li><li>
Maintain appropriate databases, warehouses, lakes, etc., for data integrity and availability with a focus on scalability and optimization</li><li>
Build and maintain data pipelines and automated ETL processes for data ingestion and transformation</li><li>
Work closely with stakeholders to identify additional data sources that are relevant to support a date-driven organization</li><li>
Support the organization with ad hoc data manipulation exercises, especially with M&amp;A activities and data migrations</li></ul><ul><li>
Bachelor&rsquo;s degree in Business, IT, Data Analytics, or similar discipline and/or 4 years of work experience in lieu of degree</li><li>
MS Data Analytics, Data Engineering, or similar, preferred</li><li>
Minimum 2 years of experience as a Data Engineer, or similar role</li><li>
Proficiency in programming languages such as Python, SQL, and Java</li><li>
Experience with data processing frameworks like Apache Spark or Hadoop</li><li>
Knowledge of database systems (e.g., MySQL, PostgreSQL, MongoDB)</li><li>
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)</li><li>
Familiarity with the operationalization of machine learning in a business environment</li><li>
Strong problem-solving skills and attention to detail</li><li>
Excellent communication and teamwork abilities</li></ul><p><br>
We offer full medical, dental, and vision insurance with day-one coverage, 401k with company matching beginning on day one, Life, Short-Term, and Long-Term Disability at no cost to our employees, paid holidays, paid time off, leadership development training programs and additional benefits to support our strong commitment to the development of each team member.<br>
<br>
GPRS is an Equal Opportunity employer</p></div><p></p>

Chenega Corporation

<div>Overview:
<div><b>
Data Engineer</b></div><div></div><div><b><br>
Melbourne, FL</b></div><div></div><div><br>
Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer&rsquo;s core culture? If so, Chenega Military, Intelligence &amp; Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level!</div><div></div><div><b><br>
Astraeus Operations (AO) </b>is an SBA-certified 8(a) Small Disadvantaged Business (SBD) subsidiary of the Chenega Corporation, an Alaska Native Corporation (ANC). We are a small business with large business capabilities due to our shared-services Program Management Office (PMO) structure. Through our <b>ISO 9001:2015</b> certification, we can accomplish the full range of contract services including financial, human capital, recruiting, procurement, security, and technical resources to achieve contract mission requirements. As a result, our &lsquo;<i>small business &ndash; big capability&rsquo;</i> dynamic benefits our clients through consistent communications and straight-lined workflows, ensuring our accountability to our clients for successful mission fulfillment.</div><div></div><div><br>
In plain terms, our clients gain a team that&rsquo;s on the same page to achieve and support the client&rsquo;s mission. We vigorously respond to clients&rsquo; requests without additional costs, delays, or inefficiencies that are often experienced with larger, more cumbersome organizations. AO is eligible for sole source, direct awards up to $100M for DOD and up to $25M for other federal agencies, without J&amp;A. Astraeus is the easy button for a client wishing to take advantage of the rapid, agile, and flexible sole source procurement option. Combined with the shared PMO services, Astraeus offers highly competitive labor rates to fulfill day-to-day contract operations.</div><div></div><div><br>
The <b>Data Engineer </b>will be part of a dynamic team that provides IT support, maintenance, operations, logistics, and engineering services to help ensure the secure, reliable, and uninterrupted availability of INL/A Management Information Systems. This role will provide data engineering support to the Department of State, Bureau of International Narcotics and Law Enforcement Affairs Office of Aviation (INL/A) in support of their missions to sustain the national security and economic interests of our nation.</div>
Responsibilities:
<ul><li>Plan and execute data migration strategies, including data mapping, transformation, validation, and reconciliation across legacy and modern systems.</li><li>
Design, develop, and maintain scalable data pipelines and ETL processes to support enterprise data integration and analytics.</li><li>
Collaborate cross-functionally with software engineers and business stakeholders to ensure data solutions meet mission objectives and compliance standards.</li><li>
Troubleshoot and resolve complex data-related issues in mission-critical government systems, ensuring high availability and data integrity.</li><li>
Support testing, deployment, and monitoring of data workflows, APIs, and data-driven applications.</li><li>
Design and implement data warehouse solutions, including dimensional modeling, data integration, and optimization for reporting and analytics.</li><li>
Work with project managers and stakeholders to gather data requirements, define timelines, and establish milestones for data engineering initiatives.</li><li>
Develop data solutions in accordance with industry&rsquo;s best practices and federal security standards, including FISMA compliance.</li><li>
Schedule and manage maintenance windows for data infrastructure updates, feature rollouts, and bug fixes.</li><li>
Participate in the full agile development lifecycle, including design, implementation, and testing of data engineering components using a wide variety of SQL tools.</li><li>
Travel may be required for special data-related projects (CONUS, OCONUS).</li><li>
Perform other duties as assigned.</li></ul>
Qualifications:
<ul><li>Bachelor's degree OR</li><li>
Associate's degree with 2+ years of relevant experience</li><li>
4+ years of relevant experience.
</li><li>Secret clearance required.</li></ul><div></div><div><b><br>
Knowledge, Skills, and Abilities:</b></div><ul><li>
Experience in planning and executing data migration strategies, including mapping, transformation, validation, and reconciliation.</li><li>
Proficient in SQL Server Integration Services (SSIS) for developing and managing ETL workflows and data migration processes.</li><li>
Proficient in Power BI, including Power BI as a Service, for building and deploying interactive dashboards and enterprise-level reporting solutions that align with business intelligence requirements.</li><li>
Familiarity with Azure Cloud, including services such as Azure SQL Managed Instances, Azure Data Factory, and Azure Synapse Analytics.</li><li>
Extensive experience in data engineering and software development, including requirements analysis, data pipeline design, integration, testing, and troubleshooting.</li><li>
Proven ability to plan and execute complex data-centric projects, providing expert-level consultation and technical leadership.</li><li>
Experience supporting operations and maintenance (O&amp;M) of mission-critical data systems, ensuring reliability and performance.</li><li>
Skilled in working directly with users and stakeholders to diagnose and resolve complex data and system issues.</li><li>
Strong technical writing skills with experience documenting data workflows, architecture, and engineering processes.</li><li>
Proficient in Windows and Linux environments, including basic system administration and scripting for automation.</li><li>
Hands-on experience with SQL Server and shell scripting for data manipulation and system tasks.</li><li>
Strong understanding of cloud-native principles and architectures, including scalability, resilience, and agility.</li><li>
Demonstrated experience in refactoring monolithic systems into microservices and modular data services.</li><li>
Familiarity with cloud-native tools and services such as AWS ECS/EKS, Azure Kubernetes Service, and Google Kubernetes Engine.</li><li>
Excellent verbal and written communication skills for translating business needs into technical data solutions.</li></ul><div></div><div><b><br>
How you&rsquo;ll grow</b></div><div>
At Chenega MIOS, our professional development plan focuses on helping our team members at every level of their careers to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there&rsquo;s always room to learn.</div><div></div><div><br>
We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their careers.</div><div></div><div><b><br>
Benefits</b></div><div>
At Chenega MIOS, we know that great people make a great organization. We value our team members and offer them a broad range of benefits.</div><div>
Learn more about what working at Chenega MIOS can mean for you.</div><div></div><div><b><br>
Chenega MIOS&rsquo;s culture</b></div><div>
Our positive and supportive culture encourages our team members to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them be healthy, centered, confident, and aware. We offer well-being programs and continuously look for new ways to maintain a culture where we excel and lead healthy, happy lives.</div><div></div><div><b><br>
Corporate citizenship</b></div><div>
Chenega MIOS is led by a purpose to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our team members, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities.</div><div>
Learn more about Chenega&rsquo;s impact on the world.</div><div>
Chenega MIOS News- https://chenegamios.com/news/</div><div></div><div><b><br>
Tips from your Talent Acquisition Team</b></div><div>
We want job seekers exploring opportunities at Chenega MIOS to feel prepared and confident. To help you with your research, we suggest you review the following links:</div><div>
Chenega MIOS web site - www.chenegamios.com</div><div>
Glassdoor - https://www.glassdoor.com/Overview/Working-at-Chenega-MIOS-EI_IE369514.11,23.htm</div><div>
LinkedIn - https://www.linkedin.com/company/1472684/</div><div>
Facebook - https://www.facebook.com/chenegamios/</div><div></div><div><br>
#Astraeus Operations</div>
Teleworking Permitted?: false</div>

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