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As a Senior Software Engineer, you will develop and maintain high-scale data platforms, write Java code for event pipelines using Spark, and manage a new graph database to enhance data access for analytics and threat hunting.
Top Skills:
SparkAWSCassandraDynamoDBFlinkGoGrpcIcebergJavaJenkinsKubernetesMySQLParquetPinotPostgresProtocol BuffersScala
Fintech • HR Tech
As a Senior Software Engineer, you will architect and maintain data infrastructure, build scalable data pipelines, and collaborate with cross-functional teams to support business goals.
Top Skills:
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Information Technology • Internet of Things
As a Senior Data Engineer, you'll build and maintain data pipelines, ensure data reliability, collaborate with teams, and mentor others in best practices.
Top Skills:
AirflowBigQueryDagsterDbtLookerMetabasePythonSnowflakeSQLTableau
< Location: Remote Canada >
About the role:
We are looking for a Data Platform Engineer to enhance and expand Stability’s data platform using AWS and GCP services. This begins with understanding our needs, selecting the appropriate tech stack and tools, gaining buy-in from stakeholders, and choosing the best long-term solution. This role will act as the technical thought leader for our data platform and help hire and mentor other team members.
Responsibilities:
- Architect, implement, and monitor data pipelines, as well as conduct knowledge-sharing sessions with peers to ensure effective data use
- Work with team members and leaders to further develop our data strategy
- Develop and maintain a data catalog so that we have a full understanding of the data and events within our platform
- Maintain infrastructure-as-code (AWS CDK) provisioning, spin up new and/or revised data platform resources and environments to enhance data collection and processing from our applications and data sources
- Act as the primary technical decision-maker for the data platform and help hire and support analytical data personnel (e.g. Data Scientist, Data Analyst, BI Developer, etc)
- Analyze large amounts of data, both structured and unstructured, and create dashboards, queries, and visualizations
- Technical experience in the following areas (with examples):
- Containerized compute: Kubernetes (EKS, GKS), ECS, Docker
- Data ingestion: Airbyte, Mage AI, AWS Glue
- Pipeline orchestration: Airflow, Spark
- Data manipulation: Pandas, Numpy, Polars,
- Data lake: S3, Iceberg, Delta Lake
- Data warehouse: BigQuery, Redshift
- Database: PostgreSQL
- Data visualization: Looker, Superset/Preset
- Data quality (optional): Great Expectations, Monte Carlo
- Data catalog (optional): Amundsen, AWS Glue Catalog
- Event streaming (optional): Kafka, Flink, Redis, Pub/Sub
- Infrastructure-as-code: AWS CDK, Terraform
- CI/CD: GitHub Actions
Qualifications:
- Must have 7+ years of hands-on experience working with data platforms
- Experience being involved in the design and implementation of at least one data platform.
- Experience in streaming and/or batch analytics.
- Experience with scalable distributed data processing, management, and visualization tools.
- Experience using business intelligence tools and data frameworks.
- Strong working knowledge of Python for both provisioning cloud infrastructure and working with data.
- We’re a remote-first company, and we need people who can do their best work from home, collaborate effectively, work asynchronously, and are proactive about reaching out to peers to get things done and/or get themselves unstuck.
- Enthusiasm, a “can do” attitude, and optimism when faced with difficult challenges.
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