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From 11,032 similar postings that came down. Coming down is not always a hire.
Riga, Latvia
Actively hiring, first seen by us 5 days agoBuild streaming and batch ingestion pipelines using Apache Flink and CDC
Design raw, curated, and served data layers and tune query performance and cost
Develop SQL transformation pipelines and dimensional data models
Implement data quality tests for freshness, completeness, and schema conformance
Build and maintain BI dashboards, ad hoc queries, and scheduled reports
Build, develop, and deploy data ingestion and streaming pipelines using Apache Flink, CDC-based ingestion
Design and maintain raw, curated, and served data layers while optimizing query performance, storage costs, and data freshness.
Develop and maintain SQL transformation pipelines and dimensional data models.
Implement and maintain data quality testing to ensure freshness, completeness, and schema conformance.
Build and maintain BI and reporting solutions including dashboards, ad hoc query capabilities, and scheduled reports.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field, or equivalent professional experience.
Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field, or equivalent professional experience. Experience:
Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 5
Early. Similar jobs usually come down between day 6 and day 54.
From 11,032 similar postings that came down. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Technology Stack: · Apache Flink · Apache Kafka / AWS MSK · Protobuf · AWS Glue Data Catalog · AWS Glue Schema Registry · Amazon S3 · Apache Iceberg · Amazon Athena · Amazon Redshift · Apache Airflow · dbt · OpenTelemetry · Prometheus · Grafana · SQL · Python · Git · Azure DevOps CI/CD · AWS IAM Physical Requirements
Key Responsibilities: · Build, develop, and deploy data ingestion and streaming pipelines using Apache Flink, CDC-based ingestion, AWS Glue Schema Registry, and in-stream validation processes. · Design and maintain raw, curated, and served data layers while optimizing query performance, storage costs, and data freshness. · Manage table maintenance, compaction, and partitioning strategies as data volumes increase. · Develop and maintain SQL transformation pipelines and dimensional data models. · Design schemas and implement ingestion and transformation logic for new data domains. · Implement and maintain data quality testing to ensure freshness, completeness, and schema conformance. · Build and maintain BI and reporting solutions including dashboards, ad hoc query capabilities, and scheduled reports. · Establish governed, high-quality datasets to support AI/ML initiatives such as predictive maintenance and capacity forecasting. · Document data models, pipeline architectures, and governance controls. · Collaborate with internal teams to gather requirements, validate assumptions, and deliver data solutions that meet business needs. Qualifications
Preferred Qualifications: · Production experience with Apache Flink or a comparable stream-processing platform. · Experience with CDC-based ingestion architectures. · Hands-on experience with Apache Iceberg, Delta Lake, and AWS Glue Data Catalog. · Experience with Protobuf, schema registries, and schema evolution management. · Experience operating Apache Airflow for workflow orchestration. · Knowledge of AWS services including S3, Glue, MSK, IAM, Athena, and Redshift. · Experience implementing data governance, access controls, and data protection measures. · Experience supporting AI/ML data preparation and data platform initiatives. · Experience working with operational telemetry data and commercial/business datasets. · English language proficiency at B2 level or above. Soft Skills:
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
AST SpaceMobile and our global partners are building the first and only space-based cellular broadband network to be accessible by standard smartphones. Called SpaceMobile, this ultra-powerful network is being designed to provide connectivity at 4G/5G speeds everywhere on the planet – on land, at sea and in flight.
We are seeking a Data Engineer to build and operate the data platform spanning both network/operational (OSS) and business/commercial data. This role is responsible for owning data ingestion, storage, transformation, and serving processes, leveraging both streaming and batch data architectures. The successful candidate will ensure operational and commercial data are governed effectively while enabling reporting, analytics, and AI/ML initiatives across the organization.
· Build, develop, and deploy data ingestion and streaming pipelines using Apache Flink, CDC-based ingestion, AWS Glue Schema Registry, and in-stream validation processes.
· Design and maintain raw, curated, and served data layers while optimizing query performance, storage costs, and data freshness.
· Manage table maintenance, compaction, and partitioning strategies as data volumes increase.
· Develop and maintain SQL transformation pipelines and dimensional data models.
· Design schemas and implement ingestion and transformation logic for new data domains.
· Implement and maintain data quality testing to ensure freshness, completeness, and schema conformance.
· Build and maintain BI and reporting solutions including dashboards, ad hoc query capabilities, and scheduled reports.
· Establish governed, high-quality datasets to support AI/ML initiatives such as predictive maintenance and capacity forecasting.
· Document data models, pipeline architectures, and governance controls.
· Collaborate with internal teams to gather requirements, validate assumptions, and deliver data solutions that meet business needs.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field, or equivalent professional experience.
A minimum of 4+ years of professional experience in data engineering, including both streaming and batch data pipeline development.
· Production experience with Apache Flink or a comparable stream-processing platform.
· Experience with CDC-based ingestion architectures.
· Hands-on experience with Apache Iceberg, Delta Lake, and AWS Glue Data Catalog.
· Experience with Protobuf, schema registries, and schema evolution management.
· Experience operating Apache Airflow for workflow orchestration.
· Knowledge of AWS services including S3, Glue, MSK, IAM, Athena, and Redshift.
· Experience implementing data governance, access controls, and data protection measures.
· Experience supporting AI/ML data preparation and data platform initiatives.
· Experience working with operational telemetry data and commercial/business datasets.
· English language proficiency at B2 level or above.
· Strong ownership mindset with a focus on data accuracy and quality.
· Excellent interpersonal and cross-functional collaboration skills.
· Strong written and verbal communication skills with both technical and non-technical stakeholders.
· Ability to bridge operational and business data domains effectively.
· Proactive problem-solving and risk identification capabilities.
· Self-directed and highly organized approach to work.
· Meticulous attention to detail in documentation, governance, and data management activities.
· Ability to adapt and thrive in a fast-paced, globally distributed team environment.
· Apache Flink
· Apache Kafka / AWS MSK
· Protobuf
· AWS Glue Data Catalog
· AWS Glue Schema Registry
· Amazon S3
· Apache Iceberg
· Amazon Athena
· Amazon Redshift
· Apache Airflow
· dbt
· OpenTelemetry
· Prometheus
· Grafana
· SQL
· Python
· Git
· Azure DevOps CI/CD
· AWS IAM
· Ability to work in a standard office or remote home-office environment and use a computer for extended periods.
· Ability to sit, type, and view computer screens for prolonged periods.
· Ability to participate in occasional after-hours incident response activities.
· Ability to communicate effectively via virtual and in-person meetings.
· Ability to travel occasionally if required for business purposes.
This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands.
AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
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Riga, Latvia
Physical Requirements · Ability to work in a standard office or remote home-office environment and use a computer for extended periods. · Ability to sit, type, and view computer screens for prolonged periods. · Ability to participate in occasional after-hours incident response activities. · Ability to communicate effectively via virtual and in-person meetings. · Ability to travel occasionally if required for business purposes. This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands.
No clear work-authorization passage found. Eligibility is unconfirmed.