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Professional Data Engineer Jobs (NOW HIRING)

$102.76 - $171.27/hr

Als Senior Professional Fullstack-Data-Engineer wirst du in unserer Tribe-Organisation stetig gefordert und gefördert, hast die Möglichkeit deine eigenen Ideen mit einzubringen und dich fachlich ...

GCP Data Engineer

New York, NY · On-site

$50 - $55/hr

GCP Certification (Professional Data Engineer required) * 5+ years in data engineering with strong Python and SQL skills * Deep experience with GCP: BigQuery, Dataflow, Pub/Sub, and Cloud Storage

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

GCP Professional Data Engineer certification * Experience supporting ML/AI data infrastructure (feature engineering, training datasets) * Familiarity with real-time streaming (Kafka, Dataflow/Flink)

GCP Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

GCP Professional Data Engineer or Associate Cloud Engineer certification. * Experience with Apache Beam, Kafka, or similar streaming frameworks. * Familiarity with CI/CD pipelines for data ...

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

GCP Professional Data Engineer certification * Experience supporting ML/AI data infrastructure (feature engineering, training datasets) * Familiarity with real-time streaming (Kafka, Dataflow/Flink)

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

BigQuery, Cloud Storage, Pub/Sub, Dataflow • Solid understanding of ETL/ELT patterns and data warehousing principles Preferred : • GCP Professional Data Engineer certification • Experience ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Certifications in cloud platform (GCP Professional Data Engineer) is a plus. * Provide engineering expertise to the team for developing features for Banking including Financial Crimes, Anti-money ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Google Professional Data Engineer certification is required. * Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Firestore, and Cloud Functions.

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

Google Professional Data Engineer certification is required. * Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Firestore, and Cloud Functions.

Sr. GCP Data Engineer

New York, NY · On-site

$125K - $150K/yr

GCP Professional Data Engineer Certification * Migration experience from Teradata, Hadoop, Oracle, or SQL Server to GCP * QA processes, test case creation, and data validation techniques

Google Cloud certifications (e.g., Google Cloud Certified Professional Data Engineer). * Experience with DevOps practices and tools (e.g., CI/CD, Terraform, Docker). Cloud BC Labs Inc is a digital ...

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Professional Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do professional data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for professional data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Professional Data Engineer vs Data Scientist?

AspectProfessional Data EngineerData Scientist
Required CredentialsCertifications like Google Cloud Professional Data Engineer, relevant degrees in computer science or data engineeringDegrees in statistics, data science, or related fields; certifications like Certified Data Scientist
Work EnvironmentDesigning data pipelines, managing data infrastructure, ensuring data qualityAnalyzing data, building models, deriving insights from data
Employer & Industry UsageTech companies, data-driven organizations focusing on data infrastructureResearch institutions, analytics firms, companies focusing on predictive modeling

The Professional Data Engineer primarily focuses on building and maintaining data infrastructure, ensuring data flows efficiently within organizations. In contrast, Data Scientists analyze data to extract insights and develop predictive models. Both roles often collaborate but serve different functions within data teams.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large-scale data infrastructure, building data pipelines, and supporting data analytics. Organizations seek professionals skilled in tools like SQL, Python, and cloud platforms to handle growing data workloads, making this a stable and growing career field.

What is a professional data engineer?

A professional data engineer designs, builds, and maintains data pipelines and infrastructure to enable data collection, storage, and analysis. They often work with tools like SQL, Apache Spark, and cloud platforms, and require strong programming and data management skills to support data-driven decision-making.

What cities are hiring for Professional Data Engineer jobs?

Cities with the most Professional Data Engineer job openings:

What are the most commonly searched types of Data Engineer jobs?

The most popular types of Data Engineer jobs are:

What states have the most Professional Data Engineer jobs?

States with the most job openings for Professional Data Engineer jobs include:

Senior Professional Data-Engineer (m/w/d)

adorsys GmbH & Co. KG

On-site

$102.76 - $171.27/hr

Other

Posted 16 days ago


Job description

Wer wir sind

Wir sind ein buntes Team aus begeisterten Softwareentwickler*innen und Architekt*innen, die gern über den Tellerrand hinausschauen und sich stetig weiterentwickeln. Als Senior Professional Fullstack-Data-Engineer wirst du in unserer Tribe-Organisation stetig gefordert und gefördert, hast die Möglichkeit deine eigenen Ideen mit einzubringen und dich fachlich exorbitant schnell zu entwickeln. In Zusammenarbeit mit unseren Bestands- und Neukunden leben wir eine Community of Practice und pflegen intern eine kollegiale Firmenkultur in einem dynamischen Team. Unsere Stakeholder sind u.a Project Leads, Product Owners, Business Analysts, Security Engineers, Operations Teams, Test Teams. Häufig verwenden unsere Kunden und Projekte u.a. die Technologien Java / SpringBoot, JavaScript / TypeScript, Angular, KeyCloak, PostgreSQL, MongoDB, JMS, JSON, REST, Kafka, Quarkus, AWS, AZURE, GCP, Docker, K8S, Gitlab, Github, Maven, Terraform, Helm.

Was dich erwartet
  • Konzeption und Implementierung von Cloud-Native Data Services auf Basis moderner Microservices-Architekturen
  • Entwicklung und Betrieb von Semantic Data Products (Integration von Knowledge Graph, Metadaten, Data Contracts) im Sinne eines Data-Centric-Ansatzes
  • Arbeiten mit modernen Query- und Data-Virtualization-Technologien wie dbt, Trino oder Dremio im Cloud-Native-Umfeld
  • Sicherstellen von Data Quality, Observability und Governance innerhalb der Data Products
  • Integration von Datenplattformen in bestehende Enterprise-Architekturen
  • Enge Zusammenarbeit mit Data Architects, Knowledge Engineers und AI Engineers zur Umsetzung datengetriebener Use Cases
  • Aktives Mitgestalten unserer Data-Centric Development Standards und Best Practices
  • Einsatz neuester Frameworks und Produkte aus dem Data und Cloud Native Bereich
Was wir von dir erwarten
  • Deutsch fließend in Wort und Schrift (C1), gute Englischkenntnisse
  • Abgeschlossenes Studium in Informatik, Datenwissenschaft oder adäquate Qualifikation
  • Mehrjährige Erfahrung in Data-Projekten, Programmierung der Data-Pipelines und Integration-Services mit den API’s wie REST, OpenAPI, Kafka, AsyncAPI, API-Testing
  • Erfahrung in Entwicklung der Microservices im Cloud-Native-Umfeld (Spring Boot, Quarkus oder vergleichbare Microservices Frameworks, Kubernetes, AWS, …)
  • Gute Kenntnisse in relationalen und nicht-relationalen Datenbanken (SQL, NoSQL, Graph-DBs)
  • Verständnis für Data Architecture und Data Engineering Konzepte (Data-Centric Architecture und Data Products, Event-Driven Architectures, ETL/ELT, Data Pipelines)
  • Idealerweise Berührungspunkte mit Semantic Technologies (z. B. Graph-Datenbanken, RDF, SPARQL)
  • Verständnis von Security, Privacy und Governance in datengetriebenen Systemen
  • Kommunikationsfähigkeit, analytisches Denken und selbstständige Arbeitsweise
Was wir dir bieten
  • Innovatives, modernes und anspruchsvolles Arbeitsumfeld mit flachen Hierarchien und der Möglichkeit, eigene Stärken individuell einzubringen
  • Langfristige berufliche Perspektiven
  • Attraktive Entlohnung
  • Flexible Arbeitszeiten und Home-Office
  • Modernes Arbeitsumfeld in coolen Büros, in denen wir auch auf deine Gesundheit achten, z. B. durch ergonomische Stühle, höhenverstellbare Tische und frisches Obst
  • Hochwertige Hardware deiner Wahl
  • Jährliche Weiterbildungen, die du selbst gestalten darfst (von Fachseminaren bis hin zur Teilnahme an internationalen Konferenzen)

Zahlreiche Benefits:

  • VGN-Firmenabo (Zuschuss öffentliche Verkehrsmittel)
  • JobRad
  • Kinderbetreuungszuschuss
  • Corporate Benefits, Einkaufsrabatte, Sportrabatte (z. B. Compustore, Urban Sports uvm.)
  • Zuschuss zur Betrieblichen Altersvorsorge / VWL
  • Getränke, Müsli, Obst am Arbeitsplatz

Du fühlst dich angesprochen? Dann bewirb dich jetzt bei adorsys!

Deine Ansprechpartner

Maria Hurtig

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