data integration engineer

Akebia Therapeutics

<div><p>At Akebia we take that number very seriously and every day we come to work, with the purpose of bettering the lives of each person impacted by kidney disease and the renal community that serves them.<br>
Our tenacious, passionate employees&rsquo; challenge the status quo and work to develop unique therapeutics that have the potential to set new standards of care for people living with kidney disease.</p>
<p>
This is life-changing work, and we are all in, are you?</p>
<p>
Job Summary:</p>
<p>
Akebia is looking for talented and motivated individual to serve as a Data Engineer. As a crucial member of the IT Team, you will work with some of the industry&rsquo;s latest technologies in support of a highly focused and entrepreneurial department furthering key business initiatives. The Data Engineer will have to have a solid background in key technologies as well as application automation, data integration, and systems implementation experience. The ideal candidate will be a highly self-motivated IT professional, inspired by technology and its use in an ever changing, fast paced environment to automate inefficient processes.</p>
<p><b>
Essential Duties &amp; Responsibilities</b></p>
<ul><li> Reports to Senior Director Information Security &amp; Data to manage multiple concurrent and potentially interconnected timelines, prioritizing deliverables, and keeping key stakeholders involved and informed of changes and consequences</li></ul>
<ul><li> Work with departmental management, IT partners, outside vendors, and internal stakeholders to plan, implement, integrate, administer, and support applications for Regulatory, Safety/Pharmacovigilance, CMC, Quality, Medical Affairs, Clinical, Commercial, and G&amp;A functions</li></ul>
<ul><li> Designs and develops data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems</li></ul>
<ul><li> Integrates data from different sources, including databases, data warehouses, APIs, and external systems</li></ul>
<ul><li> Lead cross-functional teams to manage master data, integration, and reporting projects</li></ul>
<ul><li> Build and lead integration platform roadmap and administer current integration tool-sets.</li></ul>
<ul><li> Document current and future data flows, data locations, integration tool configurations.</li></ul>
<ul><li> Build and manage Integration API library.</li></ul>
<ul><li> Support and Manage File Transfer Services.</li></ul>
<ul><li> Technical lead on systems projects and implementations.</li></ul>
<ul><li> Design, develop, maintain, and support data integrations and ETL processes.</li></ul>
<ul><li> Be a key member of a data warehousing project and bring technical expertise to the team both on the data integration and data reporting sides.</li></ul>
<ul><li> Continue to develop and mature subject matter expertise on enterprise data the company utilizes and bases decisions on and how it relates to other data and data sets.</li></ul>
<ul><li> Manage service providers and vendors to ensure full end-to-end support for data integrations, and processes in supported functions</li></ul>
<ul><li> Keep abreast of industry technology best practices and proactively look to disrupt inefficient systems and processes for the betterment of the company</li></ul>
<ul><li> Administer application integration platforms including Celigo</li></ul>
<ul><li> Provide user administration for NetSuite ERP system.</li></ul>
<ul><li> Administer NetSuite ERP system modules to provide needed configurations to integrate non-NetSuite systems with NetSuite through Akebia integration technology stack</li></ul>
<ul><li> Maintain and Administer ERP test environments for ERP system upgrades, application integrations, and ERP related business process changes</li></ul>
<ul><li> Support and administer data security posture management solution and help define data security categorization and classifications</li></ul>
<ul><li> Develop data governance strategies and approaches</li></ul>
<ul><li> Define AI data boundaries and integrations and develop use cases where AI can be leveraged for automation or innovation</li></ul>
<p><b>
Basic Qualifications</b></p>
<ul><li> A bachelor&rsquo;s degree in computer science, data science, software engineering, information systems, or related field or equivalent Life Sciences IT experience.</li></ul>
<ul><li> 3+ years of experience with data integration tools (Informatica Cloud, Boomi, Fivetran, dbt, Hightouch etc.)</li></ul>
<ul><li> Working knowledge or current IT Security principles and SSO infrastructure (Okta preferred)</li></ul>
<ul><li> Proven ability to work on cross functional projects and contribute significantly to achieve meaningful business goals</li></ul>
<ul><li> Hands on experience with Tier 1 ERP System operation, configuration, and support</li></ul>
<ul><li> Proven experience with Pharmaceutical Data Management - data consolidation and normalization, data investigation, data modeling, and data validation methods</li></ul>
<ul><li> Experience with data reporting and visualization tools (Oracle BI, Power BI, Tableau, etc.)</li></ul>
<ul><li> Experience with data warehousing technologies (Redshift, Snowflake, etc.)</li></ul>
<ul><li> Effectively communicate complex concepts with vendors, co-workers and management, both verbally and in writing</li></ul>
<ul><li> Must have a passion for learning about new systems and tools and keeping abreast of the latest technologies to best serve the business</li></ul>
<ul><li> Strong knowledge of G&amp;A, commercial, R&amp;D, and technical operations life sciences functional business lines/processes and the applied core technologies to enable the organization to operate efficiently</li></ul>
<ul><li> Experience effectively managing vendors to achieve business goals while maintaining project timelines and budget</li></ul>
<ul><li> Experience project managing application, integration, and reporting projects throughout the entire project lifecycle including requirements gathering and documentation, vendor selection, implementation tracking, risk/issue management, change management as well as system documentation, release, and training</li></ul>
<ul><li> Proven analytical thinking and problem-solving capability</li></ul>
<ul><li> Ability to multi-task and meet deadlines in a fast-paced, changing environment. Self- starter, hands-on attitude and out of the box thinking.</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications</b></p><br>
<p></p>
<ul><li> Master&rsquo;s degree in computer science, data science, software engineering, information systems, or related field</li></ul>
<ul><li> Experience working at a life sciences company</li></ul>
<ul><li> Experience as a business analyst, including identification of non-technical business requirements, translating specifications into solution designs, ensuring quality and successful testing, financial and resource management</li></ul>
<p><b>
Compensation:</b></p>
<p>
Targeted Base: *123,279-152,286</p>
<ul><li>Base Compensation for this role will depend on a number of factors including a candidate&rsquo;s qualifications, skills, competencies, and experience, and may fall outside of the range shown. Base pay is only one component of the company&rsquo;s total rewards package, all regular employees are also eligible for the corporate bonus program or the incentive compensation program (if applicable), as well as equity. Additional benefits include health care, vision, dental, retirement, PTO, etc.</li></ul>
<p><b>
Are you an Akebian?</b></p>
<p>
An Akebian is curious, empathetic, and values making connections to people and ideas. Akebian&rsquo;s aren&rsquo;t afraid of diving in and owning a process or a problem, because we all want to deliver a great solution. Akebian&rsquo;s believe that we are better together because we are all working toward a common purpose &ndash; to better the life of each person impacted by kidney disease. Want to learn more about what it means to be an Akebian? Visit our website: www.akebia.com</p>
<p>
Akebia is an equal opportunity employer and welcomes all job applicants. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law</p></div>

Data & Integration Engineer

Oasys

<div><div><b>Who We Are: </b>Oasys International LLC (Oasys) is a fast-growing federal government contractor delivering high-quality technology consulting and professional services to civilian, defense, and homeland security agencies. We have been recognized on Inc. 5000&rsquo;s list of the fastest-growing companies in America for five consecutive years and named a Best Places to Work in Virginia for the past two years.</div><div></div><div><br>
Our success is driven by a talented team of technologists, consultants, engineers, and subject-matter experts who support complex federal missions with integrity and excellence. At Oasys, we foster a collaborative, merit-based culture that values continuous learning, professional growth, and work-life balance. We are committed to creating an inclusive, engaging environment where employees are recognized for their contributions and empowered to build meaningful, long-term careers.</div><div></div><div><b><br>
Position Summary:</b></div><div>
The <b>ETL Data Integration Engineer</b> is responsible for designing and implementing ETL pipelines using AWS cloud-native services. The role requires hands-on experience with cloud-native ETL tools, modern data architecture, and best practices for secure, efficient data movement across distributed systems. Support for large data migrations and integrations into AWS from legacy systems is required. Establishes data governance and compliance in cloud environments.</div><div></div><div><b><br>
NOTE: This role is contingent on the contract being awarded.</b></div><div></div><div><b><br>
Primary Responsibilities:</b></div><div><ul><li>
Chief Architect in development of ETL methodologies and tools</li><li>
Design and implement ETL pipelines using cloud-native services (e.g., AWS Glue, Azure Data Factory, GCP Dataflow).</li><li>
Integrate data from diverse sources (APIs, SaaS applications, on-prem systems) into cloud data warehouses.</li><li>
Build automated workflows using tools like Airflow or cloud orchestration services.</li><li>
Monitor and optimize ETL jobs for cost efficiency, scalability, and reliability in cloud environments.</li><li>
Implement data validation, encryption, and compliance measures aligned with cloud security best practices.</li><li>
Collaborate with data engineers, architects, and business analysts to deliver robust data solutions.</li><li>
Maintain clear documentation for cloud ETL processes and integration workflows.</li><li>
Ensure compliance with organizational policies, security standards, and regulatory requirements.</li><li>
Recommend improvements to IT processes and workflows for efficiency and scalability.</li><li>
All other duties as assigned by management.</li></ul></div><div></div><div><b><br>
Skills and Qualifications:</b></div><div><ul><li>
Bachelor&rsquo;s degree in Computer Science, or related discipline.</li><li>
10+ years in Data Integration for DoD contracts</li><li>
Over 5 years supporting data migrations and integrations into AWS from legacy systems</li><li>
Proficiency in cloud-native ETL tools (AWS Glue, Azure Data Factory, GCP Dataflow).</li><li>
Strong skills in Python or SQL for ETL scripting and automation</li><li>
Knowledge of Apache Airflow, AWS Step Functions, or similar.</li><li>
Version Control: Experience with Git and CI/CD pipelines.</li><li>
Agile and DevSecOps project knowledge</li><li>
Excellent written, verbal, and presentation communication</li><li>
Familiarity with DoD systems, cybersecurity frameworks, and cloud platforms</li></ul></div><div></div><div><b><br>
Certifications Preferred:</b></div><div><ul><li>
Certified Data Management Professional (CDMP)</li><li>
AWS Certified Data Engineer</li></ul></div><div></div><div><b><br>
Security Clearance Requirements:</b></div><div><ul><li>
Must be a U.S. Citizen</li><li>
Must have an active DoD Secret clearance.</li></ul></div><div></div><div><b><br>
Work Location:</b></div><div><ul><li>
Fairfax, VA &ndash; Corporate Headquarters (Hybrid)</li></ul></div><div></div><div><b><i><br>
Oasys is proud to be an equal opportunity employer for all protected groups, including protected veterans and individuals with disabilities.</i></b></div></div>

ETL Data Integration Engineer

Realign

<div>Lebanon, New Jersey 08833 Posted March 20th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Job Title: FiveTran Administrator / Data Integration Engineer</b></div><div><b>
Location: Lebanon, NJ- Onsite</b></div><div><b>
Fulltime Employment</b></div><div></div><div><b><br>
Must Have Technical/Functional Skills</b></div><div><b>
Required Qualifications</b></div><ul><div>
5&ndash;7 years of experience working with enterprise data platforms and data integration tools</div><div>
Hands-on experience administering Fivetran in a production enterprise environment</div><div>
Strong experience with cloud data platforms such as:</div><div>
Databricks</div><div>
Amazon Redshift</div><div>
Experience integrating with SaaS systems (Salesforce, Workday, SAP, NetSuite, etc.)</div><div>
Strong SQL skills and understanding of data warehousing concepts</div><div>
Experience with cloud platforms (AWS/Azure/GCP)</div><div>
Understanding of data governance, access control, and compliance frameworks</div><div>
Experience handling service requests and managing ingestion SLAs</div></ul><div><b>
Preferred Qualifications</b></div><ul><div>
Experience with dbt, Airflow, or other orchestration tools</div><div>
Exposure to data quality tools and observability platforms</div><div>
Experience building reusable ingestion frameworks or data onboarding accelerators</div><div>
Knowledge of DevOps/CI-CD practices for data pipelines</div><div>
Experience supporting AI/ML and advanced analytics use cases</div></ul><div><b>
Key Competencies</b></div><ul><div>
Strong problem-solving and troubleshooting skills</div><div>
Excellent stakeholder communication</div><div>
Process-oriented with strong documentation skills</div><div>
Enterprise mindset with focus on scalability and governance</div></ul><div><b>
Roles &amp; Responsibilities</b></div><div><b>
FiveTran Administration &amp; Connector Management</b></div><ul><div>
Configure, deploy, and manage Fivetran connectors across diverse source systems (ERP, CRM, SaaS, databases, APIs, flat files, etc.)</div><div>
Establish and maintain connectors to ensure reliable and timely ingestion into Databricks, Redshift, and other enterprise data platforms</div><div>
Monitor connector health, sync performance, and data freshness SLAs</div><div>
Troubleshoot ingestion failures and proactively resolve data sync issues</div></ul><div><b>
Enterprise Data Ingestion &amp; Operations</b></div><ul><div>
Ensure all service requests for business data ingestion are fulfilled within defined SLAs</div><div>
Validate data integrity, completeness, and reconciliation post-ingestion</div><div>
Coordinate with data engineering, analytics, and business teams to onboard new data sources</div><div>
Optimize ingestion pipelines for performance and cost efficiency</div></ul><div><b>
Self-Service Ingestion Framework</b></div><ul><div>
Design and implement a scalable self-service data ingestion framework using Fivetran</div><div>
Establish standardized onboarding templates, governance controls, and automation processes</div><div>
Develop documentation and enablement materials for business and analytics users</div><div>
Implement access controls, RBAC, and data governance best practices</div></ul><div><b>
Data Platform Integration</b></div><ul><div>
Work closely with Databricks and Redshift teams to ensure proper schema management and data modeling alignment</div><div>
Support downstream transformations (dbt/Spark/SQL pipelines)</div><div>
Collaborate on data quality monitoring and observability frameworks</div></ul><div><b>
Governance, Security &amp; Compliance</b></div><ul><div>
Ensure data ingestion adheres to enterprise security standards and compliance pol icies</div><div>
Implement encryption, credential management, and secure connectivity best practices</div><div>
Maintain audit trails and operational documentation</div></ul><p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

FiveTran Administrator / Data Integration Engineer

<div>Overview:
<div>
LMI seeks an experienced <b>Data Engineer</b> to support the U.S. Army&rsquo;s <b>Holistic Health &amp; Fitness (H2F)</b> initiative as a member of the<b> H2F Program Management Office (PMO)</b>.</div><div></div><div><br>
The Data Engineer is responsible for designing, building, and maintaining <b>data pipelines and data services</b> that enable scientific analysis, analytics, and user engagement activities within the <b>Holistic Health and Fitness Management System (H2FMS)</b>. This role focuses on <b>data ingestion, transformation, storage, and visualization</b>, ensuring that data supporting research, analytics, and decision support is reliable, well-structured, and available for authorized use.</div><div></div><div><br>
The Data Engineer works closely with the Technical Project Manager, data governance specialists, epidemiologists, research psychologists, tactical sports scientists, data scientists, and software teams to translate analytic and research requirements into scalable data solutions under Government direction. This role does not set independent data policies or analytic strategies but will enable the Government&rsquo;s decision making through the facilitation of working.</div><div></div><div><br>
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.</div><div></div><div><br>
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors&mdash;helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.</div>
Responsibilities:
<div><b>
Functional Team Alignment</b></div><div>
The Data Engineer is a core member of the <b>H2F PMO</b>, supporting:</div><ul><li>
Data ingestion, transformation, and integration</li><li>
Creation of data pipelines and data services</li><li>
Enablement of analytics, AI/ML, and reporting workflows</li><li>
Integration of scientific and operational data sources</li><li>
Interact with Data Steward responsible for H2FMS systems</li><li>
Follow the Data Governance framework established by the office</li></ul><div><b>
Key Responsibilities</b></div><div><b>
Data Pipeline Development &amp; Maintenance</b></div><ul><li>
Design, develop, and maintain <b>data ingestion and transformation pipelines</b> supporting H2FMS analytics and research use cases.</li><li>
Integrate data from multiple sources, including surveys, wearable and performance data, health and injury datasets, and operational systems as directed by the H2FMS Government Lead.</li><li>
Ensure pipelines are reliable, scalable, and support downstream analytic and reporting needs.</li></ul><div><b>
Data Modeling &amp; Storage</b></div><ul><li>
Support development of <b>analytic data models</b> optimized for dashboarding/reporting and statistical learning using the Army Vantage reporting system.</li><li>
Work with data governance staff to ensure data models align with approved data definitions and standards.</li><li>
Assist with management of structured, semi-structured, and unstructured data used within H2FMS.</li></ul><div><b>
Analytics &amp; AI/ML Enablement</b></div><ul><li>
Enable data access and preparation for <b>data scientists, AI/ML engineers</b>, and other data professionals, ensuring data is usable for modeling and analysis.</li><li>
Support feature preparation and data validation activities under Government and senior analytic direction.</li><li>
Assist in troubleshooting data-related issues impacting analytics and model development.</li></ul><div><b>
Data Quality &amp; Reliability</b></div><ul><li>
Support monitoring and resolution of <b>data quality issues</b>, including completeness, consistency, and timeliness.</li><li>
Implement basic validation, logging, and error-handling mechanisms within data pipelines.</li><li>
Coordinate with data governance and analytics teams to address recurring data issues.</li><li>
Work within the CPE Data Governance Program.</li><li>
Work with the Data Governance Data Steward.</li></ul><div><b>
Cross-Team Collaboration</b></div><ul><li>
Collaborate with epidemiologists, research psychologists, and tactical sports scientists to understand analytic data needs.</li><li>
Coordinate with software teams to support integration between data services and application components.</li><li>
Support documentation and communication of data pipeline designs and dependencies.</li></ul>
Qualifications:
<div><b>
Required Qualifications</b></div><ul><li>
Bachelor of science degree in Computer Science, Software Engineering, Information Systems, or a related STEM field.</li><li>
Demonstrated experience building and maintaining <b>data pipelines and data integration solutions</b>.</li><li>
Familiarity with data transformation, storage, and analytics enablement concepts.</li><li>
Experience working with unstructured, structured, and semi-structured data.</li><li>
Proficient in programming languages python, java, and SQL</li><li>
Ability to collaborate effectively within multidisciplinary teams spanning analytics, research, and software.</li><li>
Strong problem-solving and communication skills.</li><li>
Ability to obtain and maintain a <b>Secret security clearance</b>.</li></ul><div><b>
Desired Qualifications</b></div><ul><li>
Experience designing, implementing, and managing cloud infrastructure.</li><li>
Experience supporting analytics or research-driven data environments.</li><li>
Familiarity with cloud-based data services or analytics platforms.</li><li>
Experience preparing data for dashboards, reporting, or AI/ML workflows.</li><li>
Prior experience supporting <b>DoW or federal customers</b>.</li><li>
Secret Clearance is required.</li></ul><div><b>
Location &amp; Travel</b></div><ul><li><b>
Duty Location:</b> On site at Ft. Belvoir, Virginia.
</li><li><b>Travel:</b> Limited travel to Ft. Detrick, Ft. Eustis, Virginia or LMI Headquarters may be required to support planning, integration, or stakeholder engagement.</li></ul></div>

Data Engineer

Lloyds Technology Centre

<div></div><div><div>End Date</div>
Sunday 22 March 2026<div></div><div><div>
We Support Flexible Working &ndash; Click here for more information on flexible working options</div></div><div></div><div>
Flexible Working Options</div>
Hybrid Working<div></div><div>
Job Description Summary</div>
We are looking for an engineer with strong hands‑on experience in Google Cloud Platform, SQL, and both relational and non‑relational databases, with solid knowledge of Git and Agile methodologies. The role also benefits from expertise in Python, unit testing, Kafka streaming, dbt, and CI/CD pipelines. GCP Professional Data Engineer certification is an added advantage.<div></div><div>
Job Description</div><div><div><div>
Experience: 7 - 12 years</div><div>
Location: Hyderabad</div><div>
If you think all banks are the same, you&rsquo;d be wrong! We&rsquo;re an innovative, constantly evolving business that&rsquo;s shaping finance as a force for good. A bank that&rsquo;s empowering its people to innovate, explore possibilities and grow with purpose.</div></div><div><div>
Lloyds Banking Group is rapidly becoming digital-first, leading in the UK with over 12 million online and almost 8 million mobile banking customers. There's a big opportunity here for you to join our Front-end Engineering team and take part in this transformation. As an experienced team member, show your strong software skills and mentor junior members. You'll thrive in a flexible, collaborative setting where your work on web, mobile, and tablet apps directly impacts millions every day. We're offering great growth opportunities, but it requires you to take initiative, build relationships, and make things happen. Your efforts can positively affect our customers, colleagues and communities.</div></div><div></div><div><div><br>
What we're looking for:</div></div><div><div>
The overall vision within the Client Servicing &amp; Engagement Platform is to promote value for our customers and colleagues. Our team is looking for an experienced Data Engineer.</div></div><div></div><div><div><br>
Important Skills:</div><div></div><div><div><div>
Cloud Computing: P1</div></div><div><ul><li><div>
GCP Services: Familiarity with GCP services such as BigQuery, Cloud Storage, Dataflow, and Pub/Sub for data handling and analysis</div></li></ul></div><div><ul><li><div>
Data Integration: Ability to integrate data from various GCP sources using tools like BigQuery external tables and federated queries</div></li></ul></div></div><div><div><ul><li><div>
Security and Compliance: Understanding of data security practices, including encryption and access controls</div></li></ul></div><div><ul><li><div>
Azure Services: Proficiency in Azure services like Azure Data Factory, Azure Functions and Azure Blob Storage</div></li></ul></div></div></div><div></div><div><div><div>
Data Engineering: P2</div></div><div><ul><li><div>
ETL Processes: Proficiency in Extract, Transform, Load (ETL) processes to handle data ingestion, transformation, and loading</div></li></ul></div><div><ul><li><div>
Big Data Technologies: Experience with tools like Hadoop, Spark, and Hive for processing large datasets</div></li></ul></div><div><ul><li><div>
Database Management: Knowledge of SQL and NoSQL databases, including optimization and performance tuning</div></li></ul></div><div>
Kafka: P3</div></div><div><ul><li><div>
Apache Kafka: Deep understanding of Apache Kafka, including its architecture, components, and data streaming capabilities</div></li></ul></div><div><ul><li><div>
Distributed Systems: Knowledge of distributed systems principles, such as data replication, partitioning, and fault tolerance</div></li></ul></div><div><ul><li><div>
Programming: Proficiency in Java for writing custom producers, consumers, and connectors</div></li></ul><div></div><div>
Additional Skills:</div></div><div><div>
Microsoft Dynamics: 3</div></div><div><ul><li><div>
Dynamics 365: Proficiency in Dynamics 365 for managing customer data and business processes.</div></li></ul></div><div><ul><li><div>
Integration: Experience integrating Dynamics with other data sources and platforms, including GCP.</div></li></ul></div><div><div>
Analytical Skills</div></div><div><ul><li><div>
Data Analysis: Ability to analyse and interpret data to provide actionable insights.</div></li></ul></div><div><ul><li><div>
Problem-Solving: Strong problem-solving skills to address data-related challenges.</div></li></ul></div><div><div>
Soft Skills</div></div><div><ul><li><div>
Collaboration: Effective communication and collaboration with data scientists, analysts, and other stakeholders</div></li></ul></div><div><ul><li><div>
Continuous Learning: Staying updated with the latest trends and technologies in data engineering and cloud computing</div></li></ul></div><div></div><div><div><br>
What will you get in return?</div></div><div><div>
Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We</div></div><div><div>
were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated working with cancel initiative. And it's why we especially welcome applications from underrepresented groups. We're disability confident. So, if you'd like reasonable adjustments to be made to our recruitment processes, just let us know.</div></div><div><div>
We're passionate about creating a values-led culture, and our approach to inclusion and diversity means that we all have the chance to create a real difference, together.</div></div><div><div>
This role offers an outstanding opportunity to work on a multifaceted and evolving subject matter, and we can't wait to meet you.</div></div></div><div></div><div><div><br>
Flexible Working Options</div></div><div><div>
Hybrid Working - We support flexible working and encourage 40% per week in the office and the rest from home.</div></div></div>

Steerbridge

<div><div><b>SteerBridge Strategies is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector.</b> Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success.</div><div>
At the core of SteerBridge is our people&mdash;especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don&rsquo;t simply hire exceptional talent; <b>we cultivate it</b>, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.</div><div></div><div><p><br>
SteerBridge Strategies is seeking a <b>Data Engineer</b> to support the Department of Veterans Affairs (VA) under the <b>Modern Disability Claims (MDC) initiative</b>.</p>
<p>
This program focuses on modernizing the VA&rsquo;s claims processing systems&mdash;enhancing accuracy, efficiency, and timeliness through the effective use of data. As a Data Engineer, you will support the development and maintenance of ETL pipelines, data transformation workflows, and cloud-based data architectures that enable reliable and accessible data for analytics and operational decision-making.</p>
<p>
You will work closely with senior engineers, analysts, and data scientists to improve data ingestion, transformation, and integration across multiple VA systems of record, helping to advance the VA&rsquo;s transition toward a modern data infrastructure that improves outcomes for Veterans and their families.</p>
</div>
<h3 class="jobSectionHeader"><b>Benefits</b></h3><ul><li>
Health insurance</li><li>
Dental insurance</li><li>
Vision insurance</li><li>
Life Insurance</li><li>
401(k) Retirement Plan with matching</li><li>
Paid Time Off</li><li>
Paid Federal Holidays</li></ul><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><div>
<ul><li>Develop and maintain ETL pipelines supporting structured and semi-structured data ingestion and transformation.</li><li>Support batch and real-time data workflows across enterprise data platforms.</li><li>Work with large datasets to identify patterns, trends, and data quality issues.</li><li>Build and maintain data transformation processes using Python, SQL, and modern data engineering tools.</li><li>Support workflow orchestration and scheduling using tools such as Apache Airflow or similar technologies.</li><li>Perform data quality checks, data linkage, and integration across multiple data sources.</li><li>Collaborate with cross-functional teams including data scientists, analysts, and system engineers.</li><li>Assist in the development of data models and optimized data structures for analytics and reporting.</li><li>Maintain documentation for data pipelines, workflows, and data architecture.</li><li>Contribute to cloud-based data environments supporting scalable and secure data operations.</li></ul>
</div><h3 class="jobSectionHeader"><b>
Professional Experience and Qualifications
</b></h3><div><ul><li>U.S. Citizenship required.</li>
<li>Bachelor&rsquo;s degree in Computer Science, Information Systems, or related field.</li>
<li><b>Public Trust required or ability to obtain.</b></li>
<li>3+ years of professional experience in data engineering, data integration, or data platform development.</li>
<li><b>Strong proficiency in Python and SQL for data transformation and automation.</b></li>
<li>Experience with ETL frameworks and data pipeline development.</li>
<li>Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.</li>
<li>Understanding of data modeling, data warehousing, and distributed data processing concepts.</li>
<li>Experience working with large datasets and enterprise data systems.</li>
</ul></div><h3 class="jobSectionHeader"><b>Preferred Skills</b></h3><ul><li>Experience supporting <b>federal government or healthcare data systems</b>.</li><li>Familiarity with <b>data warehousing platforms such as Snowflake, Redshift, or BigQuery</b>.</li><li>Experience with <b>workflow orchestration tools such as Apache Airflow</b>.</li><li>Exposure to <b>data governance, compliance, and security practices in regulated environments</b>.</li></ul><div><b>
SteerBridge Strategies is proud to be an Equal Opportunity Employer.</b> We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity&mdash;regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.</div><div>
We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.</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>

Data Engineer-Mid

Guardian Alarm

<p>General Purpose &amp; Essential Duties:<br/></p><p>The Cloud Data Engineer designs, builds, and maintains scalable data pipelines and cloud-based data solutions that enable the organization to access, analyze, and utilize data effectively. This role supports Guardian Alarm&rsquo;s evolving data strategy by integrating data from multiple systems, improving data accessibility, and enabling business intelligence and analytics initiatives. Working within the Azure ecosystem, the Cloud Data Engineer develops and maintains modern data pipelines, supports the organization&rsquo;s data platform architecture, and collaborates with technical and business stakeholders to ensure reliable and high-quality data is available to support reporting, analytics, and operational decision-making.<br/></p><p>Data Engineering &amp; Platform Development<br/></p><p>Design, develop, and maintain scalable cloud-based data pipelines and data integration solutions within the Azure ecosystem.<br/>Build and operationalize data ingestion and transformation pipelines using tools such as Azure Data Factory, Python, and SQL.<br/>Support development and implementation of the organization&rsquo;s cloud data platform, including Azure, Fabric and modern data architecture frameworks such as medallion architecture.<br/>Monitor and optimize data pipeline performance to ensure reliable and efficient data processing.<br/></p><p>Data Integration &amp; Pipeline Management<br/></p><p>Integrate data from multiple internal and external systems to support analytics, reporting, and operational data needs.<br/>Implement data transformations, data validation processes, and data quality controls to ensure reliable datasets.<br/>Analyze new data sources to determine usability, structure, and potential business value.<br/>Troubleshoot and resolve data pipeline failures, data inconsistencies, and system integration issues.<br/></p><p>Data Governance, Security &amp; Quality<br/></p><p>Support implementation of data governance practices, including data quality standards, data security, and proper data management processes.<br/>Assist in establishing best practices for data modeling, metadata management, and data lifecycle management.<br/>Ensure data solutions comply with organizational security and data protection standards.<br/></p><p>Analytics &amp; Reporting Support<br/></p><p>Collaborate with analytics, reporting, and business teams to ensure datasets support business intelligence and reporting requirements.<br/>Support the development and optimization of data models used in reporting tools such as Power BI.<br/>Assist stakeholders in understanding available data assets and how to leverage them effectively.<br/></p><p>Collaboration &amp; Technical Support<br/></p><p>Partner with IT teams, business stakeholders, and data users to deliver data solutions that support organizational objectives.<br/>Document data pipelines, architecture components, and technical processes to support long-term maintainability.<br/>Provide technical guidance to internal teams regarding the use and availability of data resources.<br/></p><p>Required Skills, Abilities, Education &amp; Experience<br/></p><p>Strong analytical and problem-solving skills with the ability to translate complex data challenges into practical solutions.<br/>Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.<br/>Strong collaboration skills with the ability to work cross-functionally with IT and business teams.<br/>Experience working with cloud-based data platforms and modern data engineering tools.<br/>Strong SQL and data transformation skills.<br/>4-6 years&rsquo; experience with Python or other scripting languages used for data processing and automation.<br/>4-6 years&rsquo; experience with Azure data services such as Azure Data Factory, Fabric, or related tools preferred.<br/>Ability to manage multiple projects and priorities in a dynamic environment.<br/>Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Engineering, or related STEM field, or equivalent practical experience.<br/>4&ndash;6 years of experience in data engineering, data integration, or related data platform development roles.<br/>Experience working with cloud-based data platforms, preferably Microsoft Azure.<br/>4-6 years experience building and maintaining data pipelines and data transformation processes.<br/>Experience supporting business intelligence and analytics environments preferred.<br/></p>

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