Reports To: Enterprise Applications Manager FLSA Status: Exempt Selected candidates must be able to report to the Greenwood Village location on a daily basisPosition Summary As a Data Engineer, you will play a critical role in designing, developing, and maintaining our organization's data infrastructure. You will work closely with others in the Information Technology department: analysts, developers, administrators and engineers to extract, transform, and load data from various sources into our data repositories. You will also work with others within the business (e.g. business process) to drive and deliver improvements. Your expertise in data engineering will enable us to make data-driven decisions, gain valuable insights, and improve user experiences. As a member of our technology team, you will help contribute to the overall success of the Information Technology organization and the business. As a Data Engineer you will be empowered with the opportunity to go above and beyond to simplify our user experiences while enhancing our data posture to improve our products and services we deliver. Behind the scenes, this dedicated individual's focus will follow a continuous improvement model on refining solutions, improving experiences of every user and make data accessible and usable for our business to make informed decisions. Duties & Responsibilities <ul> <li>Participate in design and architecture of software solutions with focus on ETL data management </li><li>Design, develop, and optimize complex queries to support data discovery, analysis, and reporting. Leverage databases to ensure accurate data staging and transformation processes that align with business requirements </li><li>Develop and implement data staging strategies to prepare data for analysis and reporting </li><li>Conduct thorough data discovery to identify and address data quality issues (including handling of structured or unstructured data in data lakes, data warehouses or other data repository types), ensuring that the data is accurate, complete, and accessible for business needs </li><li>Partnering with our business, business process group and key stakeholder teams to create effective solutions </li><li>Embrace challenges and seek innovative solutions to enhance the performance and scalability of data systems and applications </li><li>Drive improvements and push the boundaries of existing processes to elevate data engineering efforts and impact </li><li>Data Engineering: </li></ul> <ul><li>Design, develop, and maintain robust data pipelines to ingest, process, and transform raw data from various sources (e.g., databases, APIs, connectors, cloud storage) into actionable insights </li><li>Optimize data pipelines for performance, scalability, and reliability </li><li>Implement and ensure data quality and reliability checks and monitoring to ensure data accuracy and consistency </li><li>Collaborate with analysts to understand data needs and translate them into technical solutions </li></ul> <ul><li>Data Modeling: </li></ul> <ul><li>Design and implement data models (e.g., hierarchical, network, relational, entity-relationship, dimensional, star schema) to efficiently store and retrieve data </li><li>Optimize data models for query performance and scalability </li></ul> <ul><li>Data Repositories, Warehousing, and Data Lakes: </li></ul> <ul><li>Manage and maintain data repositories, data warehouses and data lakes, including structured and unstructured data, data loading, indexing, and partitioning </li><li>Implement data security and privacy measures to protect sensitive information </li></ul> <ul><li>Cloud Technologies: </li></ul> <ul><li>Leverage cloud platforms (e.g., Azure) to build scalable and cost-effective data solutions </li><li>Utilize cloud-native data services (e.g., data repositories, data warehouses, data lakes, data pipelines) to accelerate data processing and analysis </li></ul> <ul><li>Data Governance: </li><li>Contribute to the development and implementation of data governance policies and standards </li><li>Ensure compliance with data regulations and industry best practices </li></ul>Minimum Qualifications <ul> <li>Bachelor's degree in Computer Science, Engineering, or a related field. </li><li>Minimum 7 years experience in IT </li><li>Minimum 3 years experience as a Data Engineer </li><li>Strong proficiency in Microsoft SQL programming languages </li><li>Experience with data engineering tools and technologies (e.g., SQL, Power BI, Tableau) </li><li>Knowledge of cloud platforms (e.g., Azure) and cloud-native data services </li><li>Experience with data repositories, data warehousing and data modeling concepts </li><li>Understanding of data quality and data governance principles </li><li>Strong analytical and problem-solving skills </li><li>Excellent communication and collaboration skills. </li><li>Basic knowledge of technology infrastructure, including network, servers, PCs, and operating systems </li><li>Worked with Dynamics and Power Platform suites, ERP </li><li>Worked with and/or delivered in house custom solutions </li><li>Experience with ServiceNow ITSM and PPM tools </li><li>Experience with Azure Data Lake </li><li>Experience managing SharePoint and ITIL systems </li><li>Experience with Enterprise Service Bus (ESB) platforms (e.g., iPaaS) used to integrate applications </li><li>Excellent verbal and written communication skills; ability to interact professionally with diverse groups across org </li><li>High emotional intelligence and executive presence </li><li>Strong interpersonal skills, a team player, must be able to work with both technical and business colleagues globally </li><li>Self-motivated, eager to learn and grow; desire to advance expertise in leadership and application management </li><li>Strong technical writing capabilities </li><li>Strong analytical, problem-solving, and troubleshooting skills </li><li>Robust skills with desktop applications (e.g., Word, Excel, PowerPoint, etc.) </li><li>Experience with data visualization tools (e.g., Power BI, Tableau). </li><li>Skilled in SSRS (SQL Server Reporting Services), Power BI, or similar enterprise reporting tools </li><li>Fluent in ETL concepts and languages such as SSIS (SQL Server Integration Services) </li></ul>Preferred Qualifications <ul> <li>Knowledge of machine learning and artificial intelligence concepts </li><li>Certifications in cloud platforms or data engineering </li><li>Experience delivering and supporting custom and SaaS applications </li><li>Demonstrated knowledge of scripting languages (e.g., .NET using C#, PowerShell, Python, etc.) </li> <li>Proven skillset in SQL or other enterprise database query languages </li><li>Demonstrated experience with Source Control solutions such as GitHub </li><li>Demonstrated continuous improvement of application solutions and business processes </li> <li>Front line leadership, management skills to lead a technical team and be the voice across all levels of the organization </li></ul>Customer Service Skills <ul> <li>Demonstrates commitment to deliver outstanding service (internal users and external customers/partners) </li><li>Takes ownership to personally resolve customer problems, escalate when needed </li><li>Listens well, asks clarifying questions, and checks for agreement with customers </li><li>Committed to following up with management and customers in all instances in a timely manner </li><li>Strong sense of accountability </li></ul>Other <ul> <li>Ability to travel up to 10% of the year </li></ul>Other details<ul><li> Job Family Corporate</li> <li> Pay Type Salary</li> <li> Min Hiring Rate $118,700.00</li> <li> Max Hiring Rate $145,000.00</li> </ul> Apply Now

Job Description Join Us! <a href="#">jenny.rosenberg@greymattersdefense.com</a>Grey Matters Defense Solutions is a specialized firm in software development, data analytics algorithms, and advanced remote sensing technologies, tailored to meet the complex demands of defense and intelligence sectors. Staffed by a diverse range of professionals—from senior-level experts from organizations like the Defense Intelligence Agency (DIA), Reconnaissance Office (NRO), Defense Advanced Research Projects Agency (DARPA), and the U.S. Armed Forces, to recent graduates and military recruits—the company prides itself on a culture of collaboration. Grey Matters Defense Solutions sets itself apart with a startup-like corporate environment that values flexibility and collaboration, offering flexible schedules, hybrid work options, and frequent team events and company outings. By integrating the skills of subject matter experts, analysts, software engineers, and data scientists, Grey Matters Defense Solutions delivers unique artificial intelligence algorithms and applications, positioning itself as a leader in innovative solutions for defense and intelligence.We are seeking a Senior Data Engineer to join our data science group at Grey Matters Defense Solutions. The ideal candidate will work closely with data scientists and machine learning engineers to build and maintain scalable, efficient data pipelines, manage metadata storage, and deploy machine learning models. You will integrate multiple data sources, handle data format conversions, manage tagging tools, and ensure the smooth operation of machine learning workflows. This includes setting up scalable, automated pipelines for data ingestion, preprocessing, and annotation, as well as implementing robust systems for model versioning, deployment, and monitoring.Primary Responsibilities:<ul><li>Data Pipeline Development: Build and maintain data pipelines that handle the ingestion, conversion, and processing of raw data into formats suitable for machine learning models.</li><li>Metadata and Tagging Management: Implement tagging and annotation tools to enhance data used for model training, ensuring efficient metadata storage and retrieval.</li><li>Database Management: Design and maintain databases for storing structured/unstructured data, including tags and metadata.</li><li>Preprocessing & Automation: Automate the preprocessing of data (e.g., cleaning, normalization, augmentation) to prepare it for neural network models.</li><li>MLops Integration: Work with machine learning engineers to implement end-to-end machine learning workflows, integrating data pipelines with model training, deployment, and monitoring processes.</li><li>Model Deployment and Monitoring: Set up and manage infrastructure for deploying machine learning models, including maintaining inference servers and continuous integration pipelines.</li><li>Model Versioning: Implement model version control and management systems to track experiments and ensure smooth transitions between model iterations.</li></ul>Qualifications:<ul><li>Eight (8) years experience in a Data Engineer role.</li><li>Active TS (Top Secret) clearance.</li><li>Experience with machine learning workflows, including data pipelines and model deployment.</li><li>Familiarity with working with unstructured and structured data, converting them for use in machine learning models.</li><li>Strong understanding of MLops practices, including model versioning, monitoring, and CI/CD for machine learning models.</li><li>Experience in scaling infrastructure to handle large datasets and multiple models in production.</li></ul>Skills:<ul><li>MLops Tools: Experience with MLops tools and platforms like Kubeflow, MLflow, or Seldon, including model tracking, deployment, and monitoring systems.</li><li>Data Engineering Tools: Airflow, Bash, Docker, Docker Compose, GDAL, Git, Linux, make, MongoDB.</li><li>NVIDIA Ecosystem: Expertise in NVIDIA installations (CUDA, cuDNN, Drivers, NVIDIA CONTAINER TOOLKIT).</li><li>Python: Expertise in Python (Dask, Faker, Jupyter, NumPy, pandas, pydantic, pymongo, pytest).</li><li>Data Conversion and Processing: Experience with data conversion libraries such as Rasterio and RAY.</li><li>Web & API Development: Experience with Traefik and hosting tools.</li><li>Database Management: Strong experience with managing metadata and tagging in databases like MongoDB, with scalable storage solutions.</li></ul>Salary Range: $165,000 - $200,000+ 25% SEP Benefits: Grey Matters Defense Solutions offers a comprehensive benefits package including medical, dental, vision, life insurance, short-term and long-term disability.Additional Benefits:<ul><li>SEP IRA 25% of base salary</li><li>PTO Six weeks</li><li>IBA 12.5%</li><li>Employee assistance program</li><li>Employee discount</li><li>Flexible spending account</li><li>Health savings account</li><li>Referral program</li></ul>Grey Matters Defense Solutions’ most valuable assets are the more than 60 employees, consisting of data scientists, custom software developers, and analysts/subject matter experts, with senior-level personnel formerly from DIA, NRO, NSA, and the US Armed Forces. Our employees have a depth of analytical knowledge which provides them with a deep understanding of managing and delivering products within government systems.Grey Matters Defense Solutions provides transformational leadership building award-winning teams and products.Join our team of exceptional developers, architects, and data scientists! Visit us at <a href="#">Grey Matters Defense Solutions</a> “Know Your Rights: Workplace Discrimination is Illegal” Questions contact: <a href="#">jenny.rosenberg@greymattersdefense.com</a>Powered by JazzHR
#J-18808-Ljbffr

Job Details Job Location DEN - Greenwood Village, CO Remote Type Fully Remote Position Type Full Time Salary Range $90,000.00 - $120,000.00 Salary/year Description We are seeking a data engineer to support our data engineering and analytics team. The purpose of this role is to ensure that data products are designed, created, and delivered in a timely manner with high quality. The ideal candidate for the role of Data Engineer should possess a strongly experienced background in data engineering and related technologies such as SQL scripting and programming, data modeling, Python programming, Snowflake and Databricks data platforms, SQL Server, data lakes, schema change management, and version control. This role is remote but may require occasional travel to the Corporate office in Denver, CO. The position reports to the Data Manager. Principal Job Duties: <ul><li>Develop extract, transform, load (ETL) applications leveraging technologies such as Snowflake, Databricks, Python, DBT, and others.</li></ul><ul><li>Perform technical research, data profiling, and testing of data assumptions in data sources and in current data products.</li></ul><ul><li>Creatively provide technical data solutions that will solve business problems and enable analytics teams to build reports and explore data efficiently and quickly.</li></ul><ul><li>Perform dimensional data modeling and design database objects for ease of access, performance, and consistency.</li></ul><ul><li>Work with business stakeholders on data and reporting requirements and translate those requirements into technical solutions.</li></ul><ul><li>Explain data concepts, reports, KPIs, and other technical subjects in business terms.</li></ul><ul><li>Document development standards, KPI calculations, business glossary terms, table diagrams, and other subjects related to NSA data or reports.</li></ul> Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers and filing cabinets. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to sit, stand and walk. This position may be required to sit, stand or walk for extended periods of time. Qualifications Qualifications: <ul><li>Bachelor's degree in a technical field or equivalent related work experience</li></ul><ul><li>4+ years of technical experience in data warehouse development, design, and modeling</li></ul><ul><li>Strong understanding of data modeling concepts in data warehousing</li></ul><ul><li>At least one year of experience with Python specifically to manipulate, extract, and work with data</li></ul><ul><li>Strong SQL skills</li></ul><ul><li>Experience extracting data from REST APIs</li></ul><ul><li>Experience with relational database systems, preferably Microsoft SQL Server</li></ul><ul><li>Cloud administration experience on data platforms such as Snowflake, Databricks, or SQL Server is a plus</li></ul><ul><li>Excellent communication skills and ability to document software requirements and functionality for various audiences</li></ul> Benefits <ul><li>100% paid medical/vision/dental for employee only plans with up to $2,400 funding towards HSA.</li></ul><ul><li>401(K) with employer match.</li></ul><ul><li>Employee Assistance Program.</li></ul><ul><li>A positive work culture of high integrity team members.</li></ul><ul><li>Opportunities for career development and training.</li></ul><ul><li>A healthy work life balance including quarterly wellness days.</li></ul> NSA OP, LP is an equal opportunity employer. Employment and promotional decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information or status as a covered veteran or any other basis of discrimination prohibited by applicable local, state, or federal law. No question in our application process is used for the process of limiting or excluding any applicant's consideration for employment on such grounds. The above statements are intended to describe the general nature and level of work for the position. They are not to be construed as an exhaustive list of all the responsibilities, duties, and skills required. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. All job descriptions are subject to change. Job functions and/or responsibilities can be amended at any time at the management's discretion. Compensation Range: $90,000 - $120,000 Reports to: Data Manager FLSA Status: Exempt Location: The successful candidate must live in one of the listed States: Alabama, Arizona, Colorado, Florida, Georgia, Illinois, Indiana, Kansas, Louisiana, New Mexico, Nevada, N.Carolina, Oklahoma, Oregon, S.Carolina, Tennessee, Texas, Washington. Due to Payroll compliance, we will be unable to hire anyone in a State not listed. Visa sponsorship is not currently available. Only permanent residents and US citizens will be considered.

Data Engineer Jobs in Englewood, CO

Information Technology Data Engineer
December 19, 2024

Senior Data Engineer
December 10, 2024

Data Engineer
December 7, 2024

Quick filters

Top companies

Data Engineer Jobs in Englewood, CO

Information Technology Data EngineerDecember 19, 2024

Senior Data EngineerDecember 10, 2024

Data EngineerDecember 7, 2024

Quick filters

Top companies

Information Technology Data Engineer
December 19, 2024

Senior Data Engineer
December 10, 2024

Data Engineer
December 7, 2024