data integration engineer

COLORADO SCHOOL OF MINES

<div>Engineering a world of possibilities
Mines IT Department is seeking our next Data Integration Engineer! 
 
The Data Integration Engineer is responsible for the development, implementation, and support of secure data integrations, migrations, and ETL/ELT pipelines across the university's ERP, student information system, and data warehouse. As a key member of the Application Services team, this role is a driver of campus-wide data interoperability and growth of the Workday ecosystem. The person in this role builds and maintains data pipelines that automate workflows, eliminate operational bottlenecks, and support institutional reporting and system connectivity, benefiting students, faculty, and staff. 
 
This position currently operates in a hybrid work model with regular campus presence required. Work arrangements are subject to change based on institutional needs. The successful candidate must be able to commute to campus in Golden, Colorado.
Position Summary
The Data Integration Engineer is primarily responsible for developing, implementing, and supporting data integrations and migrations for the ERP, student information system, data warehouse, and new system implementations. This individual is a member of the Application Services team within the Information Technology Department. 
The Data Integration Engineer helps build an environment that supports process efficiency and effectiveness, integrating systems into the existing Mines application landscape and the data warehouse. They work with the Institutional Research and Analytics (IRSA) team and other campus stakeholders to populate the Mines data warehouse with data needed to support campus analysis and reporting. Additionally, they are focused on building and supporting system-to-system data integration solutions that align with industry trends and position the school for long-term growth and sustainability. 
This person establishes and applies best practices and research, resolves complex day-to-day integration and migration issues, gathers requirements from vendors and business partners for data migrations and integrations, and builds solutions to meet those requirements. 
This team member contributes to a healthy, productive environment by identifying and creating best practices that drive innovation and business improvements.
CREATE AND SUPPORT DATA WAREHOUSE MIGRATIONS
<ul><li>Analyze new systems and work with business and technical teams to develop functional and technical requirements to integrate them with the data warehouse.</li><li>
Develop and execute data migration solutions that ensure the new systems contain the data necessary to enable proper function and provide the historical data necessary to meet the needs of the business.</li><li>
Build and maintain solutions that use ETL/ELT (extract, transform, and load) tools, pre-built application data migration tools and utilities, and batch upload scripts using secure file transfer methods.</li><li>
Support the migration of business data associated with new application implementations, consolidations, and business process improvements through project participation, data analysis and troubleshooting, and end-to-end execution of data load processes.</li><li>
Manipulate and transform large data sets in a database to effectively troubleshoot issues and conduct data analysis.</li></ul>
CREATE AND SUPPORT DATA INTEGRATIONS
<ul><li>Analyze new systems and work with business and technical teams to develop functional and technical requirements to integrate them with existing systems.</li><li>
Develop and maintain data integrations and components, utilizing pre-built application data integration connectors, internal and external API-based integrations, and batch upload integrations using secure file transfer methods.</li><li>
Determine and design changes to existing system integrations that improve performance or enhance operations as driven by business needs.</li><li>
Ensure data structures and integration data flows are well documented and facilitate processes and procedures to ensure documentation is comprehensive and kept up to date as support and change requirements evolve.</li><li>
Monitor the movement of data between systems and data stores, maintaining the integrity of data, providing for required transformations, and ensuring error-free, timely, and documented execution. Detect and diagnose integration processing exceptions and resolve them using developed solutions.</li><li>
Establish, monitor, and maintain alerting/notifications and metrics related to all integrations</li><li>
Partner with the Information Security, Privacy, and Compliance teams to ensure data structures and data flows allow only &ldquo;need to know&rdquo; access to enterprise and other sensitive data within the environment.</li></ul>
OUTREACH AND COMMUNICATIONS
<ul><li>The employee in this position communicates frequently with IRSA, application stakeholders, report writers and consumers. Communication includes project, system availability, and ticket updates. Effective communication ensures ticket resolution, keeps projects moving forward, and delivers expected results.</li></ul>
Minimum Qualifcations<ul><li>
Bachelor's degree from a four-year college or university in computer science, information technology, or equivalent advanced technical training and experience. Individuals without a related degree may be considered if they demonstrate possession of the same knowledge level found in a degree but have attained advanced knowledge through a combination of work experience and intellectual instruction using a 1:1 substitution.</li><li>
3+ years of experience with integrations and application/data warehouse APIs.</li><li>
2+ years of experience designing, developing, and executing integrations in a developer or administrator role with demonstrated use of operational data store (ODS), OLAP, OLTP, EDW, modern ERP system(s).</li><li>
Experience working with relational databases, data modeling, migrations and optimizations.</li><li>
Experience automating and/or maintaining scheduled jobs to ensure maximum data uptime.</li><li>
Experience in designing workflows to solve business and technical problems.</li><li>
Experience integrating structured and unstructured data formats: files, XML, JSON, EXCEL.</li><li>
Experience integrating data from any source via API, SFTP, or browser-based file uploads.</li><li>
Experience with on-prem and SaaS enterprise software (Workday, Ellucian Banner SaaS), modern cloud solutions (AWS, Azure, Dell Boomi, Mulesoft, Informatica, Workday cloud, etc.), systems and integration strategies.</li><li>
Experience with ETL tools like SQL Server Integration Services (SSIS), Azure Data Factory (ADF), Oracle Data Integrator (ODI), iPaaS.</li><li>
SQL coding skills</li><li>
Ability to convey ideas and recommendations to a wide variety of audiences at all levels in a clear, compelling and succinct way in written and verbal communications.</li><li>
Analytical skills and experience with complete lifecycle of enterprise projects.</li><li>
Exceptional understanding of industry-accepted security best practices.</li><li>
Knowledge of SDLC and SaaS solution implementation and management.</li><li>
Knowledge of the Data Processing Cycle.</li></ul>
Preferred Qualifications<ul><li>
Proven ability to read and analyze raw data files and compare with transformed data to identify processing problems.</li><li>
Experience in higher education.</li><li>
Knowledge of reporting tools, SQL (SSRS, SSAS, SSIS), BI Tools (Tableau, Power BI, etc.) to support the development and maintenance of business reporting.</li><li>
Experience in foundational web service technologies such as SOAP, REST, and JSON.</li><li>
Experience with cloud data warehouse solutions such as Edify.</li><li>
Experience with SaaS integration development involving platforms such as Workday and Ellucian Banner SaaS.</li><li>
Experience with object-oriented/object function scripting languages: Java, C++, Visual Basic .NET, Python, etc.</li></ul>
Salary and Benefits
$84,800-91,600
Mines takes into consideration a combination of candidate&rsquo;s education, training and experience as well as the position&rsquo;s scope and complexity, the discretion and latitude required in the role, work location, and external market and internal value when determining a salary level for potential new employees.
Colorado School of Mines offers a robust portfolio of benefits for all employees. For this role, that includes:<ul><li>
Flexible health and dental care options</li><li>
Generous sick/vacation time: 13 paid holidays per year &ndash; including a week-long winter break for entire campus.</li><li>
Fully vested retirement plan on first day of employment, with generous employer contribution</li><li>
Tuition benefits (6 credits per year for employees, 50 percent discount for dependents)</li><li>
Free RTD Ecopass</li></ul>
All Mines employees also have access to discount programs through the State of Colorado and free tickets for Mines Athletics home games, as well as access to the state of the art Recreation Center (fitness classes and training, swimming pool and more) and equipment rentals through the Outdoor Rec Center. We are proud to have recently opened an on campus daycare center. For more details about benefits at Mines, visit mines.edu/human-resources/benefits.
How to Apply
Complete an online application (personal information, demographic information, veteran status)<ul><li>
Upload a resume or CV</li><li>
Upload a cover letter</li></ul>
Candidates must be currently authorized to work in the United States. Visa sponsorship is not available for this position.
This posting may be used to fill more than one vacancy based on business needs.
References will not be contacted until later in the selection process and you will be informed before that contact is made.
Application review will begin July 8, 2026. This posting will remain open until filled and may close without notice. For best consideration, apply by July 7, 2026 at 11:59 p.m. as applications received after that date may not be reviewed.
Successful completion of a background investigation is required for this position.
About Mines &amp; Golden, CO
When the world looks for answers, the world looks to Mines.
Colorado School of Mines is a top-ranked public university solving the grand challenges facing our society, particularly those related to the Earth, energy and the environment. Founded in 1874 with specialties in mining and metallurgy, Mines&rsquo; scope and mission have continually expanded to meet the needs of industry and society. Today, we are the No. 36 public university in the nation, recognized for our innovation and undergraduate teaching in science, technology engineering and math (U.S. News and World Report, 2025).
Mines graduates are change makers, boundary breakers and problem solvers. Since our earliest days, a Mines education has been and continues to be a transformational opportunity, with one of the strongest returns on investment out there for talented STEM students of all backgrounds.
At the same time, Mines faculty members are pushing their fields in new directions, whether that&rsquo;s manufacturing, space resources, quantum engineering, carbon capture or more. Mines was recently classified as a R1 &ldquo;Very High Activity&rdquo; research institution by Carnegie, a notable feat for any university but particularly one of our size.
That size &ndash; roughly 8,200 undergraduate and graduate students &ndash; also translates to a close-knit campus community, where employees have opportunities to get involved in multiple ways, continued professional learning is valued and everyone can make an impact.
Community Alliance groups bring together employees for professional development, networking, and community involvement, and all Mines employees also have access to the wealth of activities happening every day on campus &ndash; nationally-renowned speakers, special events and Mines traditions like Engineering Days, just to name a few.
And don&rsquo;t get us started on our hometown. We are located in the heart of Golden, Colorado -with its charming historic downtown and nearby hiking trails &ndash; and in close proximity to all that Denver and the Rocky Mountains have to offer. That includes the sunny, high-altitude climate and outstanding outdoor recreation opportunities that make the Denver area an ideal place to live, work and play.
Are you looking for an inspiring, mission-driven workplace where you can contribute to solving the world&rsquo;s problems and educating the next generation of change makers? Are you an individual who values a community where our individual perspectives and experiences enrich the educational and work experience?
Look to Mines.
Additional Information and Reasonable Accommodation Requests 
It is the intent of Mines to comply with the applicable requirements of the Americans with Disabilities Act and the Americans with Disabilities Act Amendments Act of 2008, and their implementation rules and regulations, in support of equal opportunities for qualified applicants with disabilities. To meet this goal, Mines will make reasonable accommodations during the employment selection process and within our working environment.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on our site as a result of your disability. You can request a reasonable accommodation by contacting our Human Resources team at hr@mines.edu or 303.273.3250 for assistance. 
Successful completion of a background investigation is required for this position. 
 
Equal Opportunity
Colorado School of Mines is committed to equal opportunity for all persons. Mines does not discriminate on the basis of age, sex, gender (including gender identity and gender expression), ancestry, creed, marital status, race, ethnicity, religion, national origin, disability, sexual orientation, genetic information, veteran status or current military service. Further, Mines does not retaliate against community members for filing complaints regarding or implicating any of these protected statuses. 
Mines&rsquo; commitment to nondiscrimination, equal opportunity and equal access is reflected in the administration of its policies, procedures, programs and activities and in its efforts to achieve a talented student body and workforce. 
Through its policies, procedures and resources, Mines complies with federal law, Colorado state law, administrative regulations, executive orders and other legal requirements to prevent discrimination (including harassment or retaliation) within the Mines campus community and to address potential allegations of inequality or concerns for safety.
Colorado's premier engineering and applied science university for 150 years and counting</div>

Data Integration Engineer

Verkehrsbetriebe Bachstein

<div>Gestalten Sie die Datenlandschaft eines regionalen Mobilit&auml;tsdienstleisters
Die Verkehrsbetriebe Bachstein GmbH sind Teil der BusGruppe &ndash; einer Kooperation von f&uuml;nf Verkehrsunternehmen mit zw&ouml;lf Betrieben in Niedersachsen, Bayern und Sachsen. Gemeinsam sorgen wir t&auml;glich f&uuml;r zuverl&auml;ssige Mobilit&auml;t und treiben die Digitalisierung unserer Unternehmensprozesse voran.
F&uuml;r unseren Standort in Celle suchen wir zum n&auml;chstm&ouml;glichen Zeitpunkt einen Data Integration Engineer (m/w/d) in Vollzeit.
Unbefristet | Standort Celle | bis zu 2 Tage Homeoffice pro Woche
F&uuml;r den Standort Celle suchen wir:
<h1 class="jobSectionHeader">Data Integration Engineer (m/w/d)</h1>
<h2 class="jobSectionHeader">Ihre Aufgaben</h2>
Sie gestalten die Datenbasis, auf der Entscheidungen getroffen werden. Als Data Integration Engineer verantworten Sie die Anbindung und den reibungslosen Betrieb unserer System- und Datenlandschaft &mdash; von der Konzeption neuer Schnittstellen &uuml;ber die Automatisierung von Prozessen bis hin zur Weiterentwicklung bestehender L&ouml;sungen. Sie arbeiten eng mit Fachbereichen und IT zusammen und bringen technisches Know-how und analytisches Denken gleicherma&szlig;en mit.
<ul><li>Design, Entwicklung und Optimierung von Datenintegrationsl&ouml;sungen und automatisierten Prozessen</li><li>
Anbindung interner Systeme an unsere Qlik-Umgebung sowie Integration externer Drittsysteme &uuml;ber Schnittstellen (REST, SOAP, ODBC, o.&auml;.)</li><li>
Konzeption, Implementierung und laufende Pflege von Datenpipelines und Datenfl&uuml;ssen</li><li>
Digitalisierung und Automatisierung manueller oder teilautomatisierter Gesch&auml;ftsprozesse</li><li>
Weiterentwicklung und Pflege bestehender Eigenentwicklungen (Skripte, Datenmodelle, Integrationsl&ouml;sungen)</li><li>
Monitoring von Integrationen und Schnittstellen inkl. proaktiver Fehleranalyse, St&ouml;rungsbehebung und Performance-Optimierung</li><li>
Technische Dokumentation von Schnittstellen, Datenfl&uuml;ssen und Systemabh&auml;ngigkeiten</li><li>
Enge Zusammenarbeit mit Fachbereichen, Key-Usern und externen System- und Softwarepartnern</li></ul>
<h2 class="jobSectionHeader">Das bringen Sie mit</h2>
<ul><li>Abgeschlossenes Studium der Informatik, Wirtschaftsinformatik, Data Science oder einer vergleichbaren Fachrichtung beziehungsweise eine abgeschlossene IT-Ausbildung mit entsprechender Praxiserfahrung
</li><li>Praktische Erfahrung in den Bereichen Datenintegration, Schnittstellenentwicklung, Data Engineering oder Prozessautomatisierung</li><li>
Fundierte SQL-Kenntnisse und sicherer Umgang mit relationalen Datenbanken</li><li>
Erfahrung in der Entwicklung und Betreuung von Schnittstellen und Datenpipelines</li><li>
Verst&auml;ndnis f&uuml;r Datenqualit&auml;t, Systemabh&auml;ngigkeiten und Gesch&auml;ftsprozesse</li><li>
Strukturierte und selbstst&auml;ndige Arbeitsweise sowie ausgepr&auml;gte Probleml&ouml;sungskompetenz</li></ul><h2 class="jobSectionHeader">
Von Vorteil</h2>
<ul><li>Erfahrung mit Qlik oder vergleichbaren BI- und Analytics-Plattformen</li><li>
Kenntnisse in Python, JavaScript oder vergleichbaren Technologien zur Automatisierung von Prozessen</li><li>
Erfahrung mit API-Technologien und Integrationsstandards (REST, SOAP)</li></ul>
<h2 class="jobSectionHeader">Warum diese Rolle?</h2>
Sie arbeiten an einer zentralen Data-Plattform, die unterschiedliche Systeme, Prozesse und Datenquellen verbindet. Dabei entwickeln Sie nicht nur Schnittstellen weiter, sondern gestalten aktiv die Digitalisierung und Automatisierung eines Unternehmens mit, das t&auml;glich tausende Fahrg&auml;ste bewegt.
Wir begr&uuml;&szlig;en Bewerbungen unabh&auml;ngig von Geschlecht, Nationalit&auml;t, ethnischer und sozialer Herkunft, Religion, Behinderung, Alter oder sexueller Identit&auml;t.
Wir freuen uns auf Ihre Bewerbung f&uuml;r die Position als Data Integration Engineer (m/w/d) in Celle.
<h2 class="jobSectionHeader">Das erwartet Sie</h2>
<ul><li>Eine unbefristete Position mit langfristiger Perspektive</li><li>
Eine Verg&uuml;tung, die sich am Verantwortungsumfang der Position orientiert</li><li>
Bis zu zwei Tage Homeoffice pro Woche nach erfolgreicher Einarbeitung</li><li>
Gestaltungsspielraum beim Aufbau und der Weiterentwicklung unserer Data- und Integrationslandschaft</li><li>
Spannende Digitalisierungsprojekte mit direktem Einfluss auf den &ouml;ffentlichen Nahverkehr</li><li>
Zusammenarbeit mit einem engagierten Team aus Fachbereichen, IT und externen Partnern</li><li>
Individuelle fachliche und technische Weiterentwicklung durch Schulungen und Weiterbildungsangebote</li><li>
Moderne Arbeitsmittel und kurze Entscheidungswege</li><li>
JobRad-Leasing sowie weitere Mitarbeitervorteile und Rabatte</li></ul>
<h2 class="jobSectionHeader">Ihre Bewerbung</h2>
Sie sind interessiert?
 
Dann bewerben Sie sich jetzt &uuml;ber unser Bewerbungsportal:</div>

Data Integration Engineer (m/w/d)

Loxxess

<div>Du bist analytisch, arbeitest strukturiert und &uuml;berzeugst mit deiner Kommunikationsst&auml;rke? Au&szlig;erdem arbeitest du gerne eigenverantwortlich? Dann bewirb Dich als 
Data Integration Engineer (m/w/d) 
in 97070 W&uuml;rzburg 
In Deiner Rolle als Data Integration Engineer (m/w/d) bist Du verantwortlich f&uuml;r die Integration interner Systeme sowie externer Partner &uuml;ber EDI- und API-Schnittstellen auf der Lobster-Plattform. Au&szlig;erdem sorgst Du f&uuml;r einen reibungslosen und effizienten Datenaustausch sowie stabile Schnittstellenprozesse. 
 Als Data Integration Engineer (m/w/d) &uuml;bernimmst Du folgende Aufgaben:<ul><li>
Analyse, Entwicklung und Umsetzung komplexer Datenmappings und Transformationen</li><li>
Monitoring, Fehleranalyse und Troubleshooting produktiver Integrationsprozesse im laufenden Betrieb</li><li>
Erstellung und Pflege von API-Dokumentationen (OpenAPI/Swagger) f&uuml;r extern publizierte Schnittstelle</li><li>
Unterst&uuml;tzung des Support-Teams im 3rd-Level-Support bei komplexen technischen Eskalationen</li><li>
Pflege und Weiterentwicklung der technischen Dokumentation in Confluence (u. a. Schnittstellenbeschreibungen, Betriebshandb&uuml;cher, Architekturentscheidungen und Know-how)</li></ul> 
Lust bekommen? Wenn Du au&szlig;erdem noch die folgenden &bdquo;Hard Facts&ldquo; mitbringst, passen wir ideal zusammen:<ul><li>
Abgeschlossenes Studium der Informatik, Wirtschaftsinformatik oder eine vergleichbare IT-Ausbildung (z. B. Fachinformatiker/in f&uuml;r Systemintegration oder Anwendungsentwicklung)</li><li>
Fundierte Kenntnisse g&auml;ngiger Datenformate (XML, JSON, CSV) sowie EDI-Standards (z. B. EDIFACT, VDA)</li><li>
Kenntnisse in mindestens einer Skriptsprache (z. B. PowerShell, Python oder JavaScript) von Vorteil</li><li>
Kenntnisse in logistischen Prozessen (z. B. Lagerhaltung, Transport, Auftragsabwicklung, Wareneingang, Purchase Orders und Stammdaten) von Vorteil</li><li>
Sehr gute Deutschkenntnisse (B2&ndash;C1) sowie gute Englischkenntnisse (B1)</li></ul> 
Was LOXXESS Dir bietet:<ul><li>
Pers&ouml;nliche Weiterentwicklung: Wir unterst&uuml;tzen Deine berufliche Entwicklung durch Schulungen in relevanten sowie auch in anderen interessanten Thematiken</li><li>
Flexibler Arbeitsort: Nach Abschluss der Einarbeitung besteht die M&ouml;glichkeit auf bis zu zwei Tage Homeoffice in der Woche</li><li>
Urlaub: 30 Tage Urlaub im Jahr</li><li>
Vorsorge: Arbeitgeberzuschuss zur betrieblichen Altersversorgung sowie betrieblichen Berufsunf&auml;higkeit</li><li>
Weitere Benefits: Mitarbeiterverg&uuml;nstigungen &uuml;ber Corporate Benefits - Fahrradleasing &uuml;ber Jobrad - Wellpass - Nilo Health und Mitarbeiterparkpl&auml;tze</li></ul> 
&Uuml;ber LOXXESS:
Die LOXXESS AG hat sich auf komplexe Outsourcing-Projekte in der Industrie- und Handelslogistik spezialisiert. F&uuml;r die Kunden werden auf Basis individueller Konzepte schnelle, schlanke und zukunftsorientierte Logistik- und Fulfillment-L&ouml;sungen entwickelt und umgesetzt. Das preisgekr&ouml;nte Unternehmen (z. B. Gewinner Europ&auml;ischer Logistikpreis) mit Hauptsitz in Tegernsee besch&auml;ftigt bei einem Umsatz von 300 Mio. Euro etwa 3.300 Mitarbeiter, verf&uuml;gt &uuml;ber 28 Logistik-Standorte in Deutschland, Tschechien und Polen und bewirtschaftet rund 400.000 qm Lagerfl&auml;che. Der schonende Umgang mit nat&uuml;rlichen Ressourcen steht ebenso im Vordergrund wie soziales Engagement durch Sponsoring.
MODERNE LOGISTIK UND EINE GROSSE FAMILIE. UND DU MITTENDRIN? 
Als inhabergef&uuml;hrtes Familienunternehmen ist uns vor allem eins wichtig: eine langfristige und vertrauensvolle Zusammenarbeit mit unserem herzlichen Team. Flache Hierarchien geben bei uns den Ton an und unsere Kultur ist gepr&auml;gt von Offenheit. Wer mag, &uuml;bernimmt Verantwortung. So einfach ist das.
GEHE VORAUS 
Innovative L&ouml;sungen und schnelle Entscheidungswege treiben uns an und kennzeichnen unsere Erfolge ebenso wie unsere gro&szlig;en und bekannten Kunden aus den unterschiedlichsten Bereichen. Durch Digitalisierung in allen Ressorts ist flexibles und mobiles Arbeiten m&ouml;glich.
GESTALTE MIT 
Auch wir lernen nie aus und denken flexibel. Gemeinsam mit unseren Mitarbeitenden setzen wir gute Ideen effizient um und werden so zum Wegbereiter &ndash; in allen Branchen.
DU M&Ouml;CHTEST GEMEINSAM MIT UNS ERFOLGREICH SEIN? 
Dann zeige uns, was in Dir steckt! Wir freuen uns auf Deine Bewerbung z. Hd. von Mario Hentschel im PDF-Format &uuml;ber das Online-Portal auf unserer Homepage.</div>

Robert Koch-Institut

<div><div>Werden Sie Teil der RKI-DNA!
</div><div><div><h2 class="jobSectionHeader">Wichtige Informationen</h2>
<ul><li>Arbeitsbeginn : n&auml;chstm&ouml;glich
</li><li>Bewerbungsfrist : 12. Juli 2026
</li><li>Befristung : befristet
</li><li>Verg&uuml;tung : bis E 12 TV&ouml;D
</li><li>Standort : Berlin
</li><li>Referenznummer : 053/26
</li></ul></div></div><div>Das Robert Koch-Institut - das sind ca. 1.500 K&ouml;pfe aus &uuml;ber 52 Nationen mit einem Ziel: Die Gesundheit der Menschen zu sch&uuml;tzen. Wir erheben und analysieren Gesundheitsdaten, erkennen Risiken, beraten Politik und Fachwelt und entwickeln neue wissenschaftliche Methoden. Unsere Standorte sind in Berlin, Wildau und Wernigerode.
Unser Team ZfKD &ndash; Zentrum f&uuml;r Krebsregisterdaten freut sich auf Ihre Bewerbung!
Das ZfKD hat nach Bundeskrebsregisterdatengesetz die Aufgabe, die Daten der Krebsregister der L&auml;nder regelm&auml;&szlig;ig zusammenzuf&uuml;hren, zu pr&uuml;fen, auszuwerten und externen Forschenden auf Antrag zur Verf&uuml;gung zu stellen. Nach Gesundheitsdatennutzungsgesetz soll es zudem die geplante Verkn&uuml;pfung der Krebsregisterdaten mit Daten der Gesetzlichen Krankenversicherung f&uuml;r Forschungszwecke unterst&uuml;tzen.
<h3 class="jobSectionHeader">
Ihre Aufgabe bei uns</h3>
<ul><li>Erarbeitung von technischen Prototypen f&uuml;r:</li><li>
Verkn&uuml;pfung von Datens&auml;tzen gem&auml;&szlig; den Anforderungen des zu erarbeitenden Konzeptes</li><li>
Umsetzung von Methoden zur Pseudonymisierung von Identit&auml;tsmerkmalen in Abstimmung mit anderen Akteuren</li><li>
Etablierung eines Systems zur systematischen &Uuml;berwachung von Datenqualit&auml;t anhand festzulegender Metriken</li><li>
Erstellung von Datensatzbeschreibungen unter Ber&uuml;cksichtigung moderner Methoden</li><li>
Aufbau und Pflege von online repositories zur Verf&uuml;gbarmachung von Dokumentation, Quellcode, sowie Referenztabellen f&uuml;r maschinelle Weiterverarbeitung</li><li>
Weiterentwicklung und Optimierung bestehender Systeme zur Transformation von Krebsregisterdaten</li></ul>
<h3 class="jobSectionHeader">Ihr Profil</h3>
<h4 class="jobSectionHeader">Formale Voraussetzungen</h4>
<ul><li>abgeschlossenes Hochschulstudium (Bachelor oder Diplom/FH) der Informatik, Wirtschaftsinformatik oder einer vergleichbaren Fachrichtung mit IT-Bezug</li><li>
mehrj&auml;hrige einschl&auml;gige Berufserfahrung</li></ul>
Bei ausl&auml;ndischen Bildungsqualifikationen ben&ouml;tigen wir einen Nachweis &uuml;ber die Gleichwertigkeit mit einem deutschen Abschluss.
<h4 class="jobSectionHeader">
Kenntnisse und Erfahrungen</h4>
<ul><li>mit Datenbanksystemen, insbesondere duckdb, MSSQL, postgres.</li><li>
in der Softwareentwicklung, insbesondere Python, R, Jupyter Notebooks</li><li>
in der Erstellung und Ausgestaltung von datengetriebenen Systemen der Qualit&auml;tssicherung</li><li>
Sprachkenntnisse (CEFR-Niveau): Deutsch mind. C1, Englisch mind. B2</li></ul>
<h4 class="jobSectionHeader">W&uuml;nschenswert</h4>
<ul><li>praktische Erfahrung in der Erstellung und Ausgestaltung sowie der Qualit&auml;tssicherung von datengetriebenen Systemen</li></ul>
<h3 class="jobSectionHeader">Pers&ouml;nliche Kompetenzen</h3>
<ul><li>Innovationsbereitschaft und Offenheit f&uuml;r ver&auml;nderte Anforderungen und Entwicklungen</li><li>
systematisch-analytisches Denkverm&ouml;gen und dem K&ouml;nnen, Probleme und Prozesse in ihre Bestandteile zu zerlegen</li><li>
Zielorientierung und Konzeptentwicklung zur Zielerreichung</li><li>
Kommunikationsf&auml;higkeit und anschauliche Darstellung von Sachverhalten sowie pr&auml;ziser und sachlicher Argumentation</li><li>
Kooperations- und Teamf&auml;higkeit und Erarbeitung von L&ouml;sungen zusammen mit anderen Teammitgliedern</li><li>
Serviceorientierung durch Pflege langfristiger Kooperationen mit internen und externen Mitwirkenden</li></ul>
<h2 class="jobSectionHeader">Darauf k&ouml;nnen Sie sich bei uns freuen</h2>
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</li></ul></div>Wir leben Chancengleichheit und begr&uuml;&szlig;en alle Menschen in allen Dimensionen von Diversit&auml;t.Deshalb gew&auml;hrleisten wir die berufliche Gleichstellung. Schwerbehinderte Menschen werden bei gleicher Qualifikation und Eignung bevorzugt ber&uuml;cksichtigt.
Das Bundesministerium f&uuml;r Gesundheit kann im Rahmen seiner aufsichtsrechtlichen Befugnisse im Einzelfall Einblick in Ihre Bewerbungsunterlagen nehmen. Ihre Daten werden nach Abschluss des Bewerbungsverfahrens gel&ouml;scht.
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Wir freuen uns auf Ihre aussagekr&auml;ftigen Bewerbungsunterlagen zur StellenID 1459108 / Referenznummer 053/26 bis zum 12. Juli 2026 ausschlie&szlig;lich &uuml;ber Interamt. 
Zuletzt aktualisiert am 19.06.2026</div></div>

Data Integration Engineer / Fachkraft für Datenintegration und Datenmanagement (d/m/w) ( 053/26)

Addepar

<div>
 
 Who We Are
 
 
 
 Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and S&atilde;o Paulo.
 
 
 
 The Role
 
 
 
 Portfolio Data Integration is part of the broader Addepar Platform team. The overall Addepar Platform provides a single source of truth &ldquo;data fabric&rdquo; used by the Addepar product set, including a centralized and self-describing repository (a.k.a Data Lake), a set of API-driven data services, an integration pipeline, analytics infrastructure, warehousing solutions, and operating tools. The team has responsibility for all data acquisition, conversion, cleansing, disambiguation, modeling, tooling and infrastructure related to the integration of client portfolio data.
 
 
 Addepar&rsquo;s core business relies on the ability to quickly and accurately ingest data from a variety of sources, including 3rd party data providers, custodial banks, data APIs, and even direct user input. Portfolio Data integrations and feeds are a highly critical cross-section of this set, allowing our users to get automatically updated and reconciled information on their latest holdings onto the platform.
 
 
 As a data engineer for this team, you will execute the development of new data integrations and maintenance of existing processes in order to expand and improve our data platform. You&rsquo;ll be adding automation and functionality to our distributed data pipelines by writing PySpark code and integrating it within our Databricks Data Lake. The team operates with an AI-augmented engineering workflow &mdash; LLM tools are integrated into code review, testing, and documentation as standard practice, not an experiment. As you gain more experience, you&rsquo;ll contribute to increasingly challenging engineering projects within our platform with the ultimate goal of dramatically increasing the throughput of data ingestion for Addepar. This is a crucial, highly visible role within the company. Your team is a big component of growing and serving Addepar&rsquo;s client base with minimal manual effort required from our clients or from our internal data operations team.
 
 
 Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Complete individual project priorities, deadlines, and solutions.
 </li>
 <li>
 Build pipelines that support the ingestion, analysis, and enrichment of financial data in partnership with business data analysts
 </li>
 <li>
 Improve the existing pipeline to increase the throughput and accuracy of data
 </li>
 <li>
 Develop and maintain efficient process controls and accurate metrics to ensure quality standards and organizational expectations are met
 </li>
 <li>
 Partner with members of Product and Engineering to design, test, and implement new processes and tooling features that improve data quality as well as increase operational efficiency
 </li>
 <li>
 Identify areas of automation opportunities and implement improvements
 </li>
 <li>
 Understand data models and schemas, and work with other engineering teams to recommend extensions and changes
 </li>
 <li>
 Use AI-assisted development workflows &mdash; The team uses LLM tools (Claude Code) as a standard part of the engineering workflow: pre-review, test generation, code analysis, and documentation. You'll be expected to adopt and contribute to these workflows
 </li>
 <li>
 Maintain and improve automated quality gates &mdash; Work with AI-powered code review tooling to enforce coding standards, catch regressions before human review, and reduce manual toil in the PR process
 
 
 </li>
 </ul>
 Who You Are
 
 
 <ul>
 <li>
 Prior professional data engineering/analysis experience
 </li>
 <li>
 Experience with object-oriented programming (we use PySpark/Python)
 </li>
 <li>
 Knowledge of SQL or relational database concepts
 </li>
 <li>
 Experience in data modeling, visualization, and ETL pipelines
 </li>
 <li>
 Comfort working with AI/LLM tools as part of your development workflow (e.g., code assistants, automated review, AI-generated tests). You don't need to be an expert &mdash; but you should be curious and willing to adopt new tooling quickly
 </li>
 <li>
 Knowledge of financial concepts (e.g., stocks, bonds, etc.) is helpful but not necessary
 </li>
 <li>
 Passion for the world of FinTech and solving previously intractable problems at the heart of investment management
 
 
 </li>
 </ul>
 
 Our Values
 
 
 
 <ul>
 <li>
 Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
 </li>
 <li>
 Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
 </li>
 <li>
 Champion Our Clients - Exceed client expectations. Our clients&rsquo; success is our success.
 </li>
 <li>
 Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
 </li>
 <li>
 Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.
 
 
 </li>
 </ul>
 In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.
 
 
 We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
 
 
 PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote &ldquo;interviews,&rdquo; and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com.
</div>

Data Engineer

VERSA Integrated Solutions

Position: Data EngineerDepartment: Federal ProgramsLocation: Washington, DC Metro Area (Hybrid/Onsite based on customer requirements)Employment Type: Full-TimeSalary: Commensurate with ExperienceAbout VERSA Integrated SolutionsVERSA Integrated Solutions delivers innovative Cloud, Data, Artificial Intelligence, Cybersecurity, and Enterprise IT solutions to Federal Government agencies. We help agencies modernize mission-critical systems by implementing secure, scalable, cloud-native technologies that enable advanced analytics, operational excellence, and data-driven decision making.Position SummaryVERSA Integrated Solutions is seeking a highly motivated Data Engineer to design, build, optimize, and maintain enterprise data platforms supporting Federal Government customers. The Data Engineer develops robust ETL/ELT pipelines, cloud-based data integration solutions, and enterprise data repositories that support business intelligence, artificial intelligence, reporting, and operational analytics.The successful candidate will collaborate closely with Data Architects, AI/ML Engineers, Database Administrators, Software Developers, Cloud Engineers, and Business Analysts to ensure high-quality, secure, and scalable data solutions.Position ObjectivesThe Data Engineer will:<ul><li>Design enterprise data pipelines.&bull; Integrate structured and unstructured data sources.&bull; Support cloud data modernization initiatives.&bull; Improve enterprise data quality.&bull; Enable analytics and AI initiatives.&bull; Automate data processing workflows.</li></ul>Major Duties &amp; ResponsibilitiesData Pipeline Development<ul><li>Design, develop, and maintain scalable ETL/ELT pipelines.&bull; Integrate internal and external data sources.&bull; Automate ingestion, transformation, and validation processes.&bull; Optimize data movement across enterprise platforms.&bull; Monitor pipeline performance and reliability.</li></ul>Cloud Data EngineeringSupport enterprise cloud platforms including:<ul><li>Azure Data Factory&bull; Azure Synapse Analytics&bull; Azure Data Lake&bull; Microsoft Fabric&bull; AWS Glue&bull; AWS Redshift&bull; Databricks</li></ul>Develop cloud-native data integration solutions supporting modernization initiatives.Data Integration<ul><li>Develop APIs supporting enterprise integrations.&bull; Process structured, semi-structured, and unstructured data.&bull; Build real-time and batch processing solutions.&bull; Support streaming technologies such as Apache Kafka and Azure Event Hub.</li></ul>Data Quality<ul><li>Validate incoming datasets.&bull; Develop automated quality checks.&bull; Monitor completeness and accuracy.&bull; Resolve data anomalies.&bull; Implement data lineage and audit capabilities.</li></ul>Analytics SupportProvide data services supporting:<ul><li>Power BI&bull; Tableau&bull; AI/ML models&bull; Executive dashboards&bull; Predictive analytics&bull; Operational reporting</li></ul>DevSecOpsCollaborate with engineering teams to:<ul><li>Automate deployments&bull; Implement Infrastructure as Code&bull; Support CI/CD pipelines&bull; Improve monitoring and observability&bull; Secure enterprise data environments</li></ul>Required Technical SkillsLanguages<ul><li>Python&bull; SQL&bull; Spark&bull; PySpark&bull; PowerShell</li></ul>Cloud<ul><li>Azure&bull; Azure Data Factory&bull; Azure Synapse&bull; Azure SQL&bull; Azure Storage&bull; Microsoft Fabric</li></ul>Databases<ul><li>SQL Server&bull; PostgreSQL&bull; Oracle&bull; Snowflake&bull; Databricks</li></ul>Tools<ul><li>Git&bull; GitHub&bull; Azure DevOps&bull; Terraform&bull; Docker&bull; Kubernetes</li></ul>Preferred Skills<ul><li>Apache Kafka&bull; Azure Event Hub&bull; REST APIs&bull; JSON/XML&bull; Delta Lake&bull; Data Lakehouse Architecture&bull; AI data preparation&bull; MLOps</li></ul>EducationBachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, or a related discipline.Experience LevelsJunior (0&ndash;4 Years)<ul><li>SQL development&bull; Python programming&bull; ETL fundamentals&bull; Database experience</li></ul>Intermediate (5&ndash;9 Years)<ul><li>Cloud data engineering&bull; Azure or AWS experience&bull; Production ETL development&bull; API integration</li></ul>Senior (10&ndash;14 Years)<ul><li>Enterprise cloud modernization&bull; Data platform leadership&bull; Performance optimization&bull; Mentoring junior engineers</li></ul>SME (15+ Years)<ul><li>Enterprise Data Engineering strategy&bull; Federal modernization leadership&bull; AI-enabled data platforms&bull; Large-scale cloud migration</li></ul>Preferred Certifications<ul><li>Microsoft Certified: Azure Data Engineer Associate&bull; Databricks Certified Data Engineer&bull; AWS Certified Data Engineer&bull; SnowPro Core&bull; ITIL&reg; Foundation</li></ul>Desired Federal ExperienceExperience supporting NIH, CMS, Census Bureau, Commerce, DHS, DOD, or other Federal agencies is highly desirable.Security ClearanceAbility to obtain and maintain a Public Trust or higher clearance, depending on customer requirements.Why Join VERSA?Join a team building modern data platforms that enable Federal agencies to leverage artificial intelligence, cloud computing, and enterprise analytics to accomplish mission objectives.Equal Employment OpportunityVERSA Integrated Solutions is an Equal Opportunity Employer committed to diversity, inclusion, and equal opportunity for all qualified applicants.Pay: $120,000.00 - $150,000.00 per yearBenefits:<ul><li>401(k) matching</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Work Location: Hybrid remote in Washington, DC 20591

G&W Electric Company

<div>Data Analytics Engineer I
Position Summary
The Data Analytics Engineer I supports the design, development, maintenance, and optimization of the enterprise analytics data platform. This role assists with data pipelines, data models, integration processes, data quality controls, and analytical capabilities that support reporting, AI initiatives, automation, and enterprise decision making.
The Engineer I works with Data Analytics Engineers, Developers, Analysts, and business stakeholders to ensure enterprise data is reliable, accessible, and usable for analytics solutions. This role is intended for an early-career data engineering professional with strong technical aptitude who can contribute to data integration, data modeling, SQL development, documentation, testing, and platform support while continuing to build deeper expertise in enterprise data architecture and advanced analytics.
Key Responsibilities
<ul><li>Design, develop, test, and maintain data pipelines and integration processes under appropriate guidance.</li>
<li>Build and support data models used for enterprise analytics, dashboards, reporting, and business semantic layers.</li>
<li>Support data ingestion from ERP, CRM, manufacturing, quality, and other operational systems.</li>
<li>Develop and maintain data quality monitoring, validation, and reconciliation processes.</li>
<li>Support Incorta platform architecture, data modeling, performance monitoring, and optimization activities.</li>
<li>Develop SQL scripts, data transformations, and technical solutions to support analytics needs.</li>
<li>Support Python-based automation, analytics, and AI-related solutions.</li>
<li>Assist with machine learning, predictive analytics, and intelligent automation initiatives.</li>
<li>Implement data governance standards, metadata management practices, and technical documentation requirements.</li>
<li>Document data architecture, data lineage, integration processes, technical standards, and support procedures.</li>
<li>Collaborate with Developers and Analysts to ensure data availability, consistency, accuracy, and usability.</li>
<li>Troubleshoot data issues, pipeline failures, performance concerns, and reporting discrepancies.</li>
<li>Build knowledge of enterprise source systems, data architecture, cloud data platforms, AI technologies, and analytics engineering practices.</li>
</ul>
Qualifications
<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, Analytics, Data Science, or related field.</li>
<li>0&ndash;3 years of experience in data engineering, database development, ETL/ELT development, data integration, analytics engineering, reporting data models, or related technical work.</li>
<li>Strong SQL and database development skills.</li>
<li>Experience with ETL/ELT processes, data modeling, and data transformation.</li>
<li>Strong analytical, troubleshooting, and problem-solving capabilities.</li>
<li>Understanding of data quality, data validation, and reconciliation practices.</li>
<li>Ability to work collaboratively with technical teams and business stakeholders.</li>
<li>Strong attention to detail and commitment to reliable, accurate data.</li>
<li>Ability to learn enterprise platforms, source systems, data architecture, and emerging analytics technologies.</li>
</ul>
Preferred Qualifications
<ul><li>Experience with Incorta.</li>
<li>Experience with Python development.</li>
<li>Familiarity with machine learning and AI technologies.</li>
<li>Exposure to cloud-based data platforms.</li>
<li>Manufacturing and ERP data experience.</li>
<li>Experience with metadata management, data lineage, or data governance practices.</li>
<li>Experience supporting data pipelines for reporting, dashboards, or analytical applications.</li></ul></div>

Data Analytics Engineer I

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Data Integration Engineer / Fachkraft für Datenintegration und Datenmanagement (d/m/w) ( 053/26)

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