Remoote.app

Work from anywhere. Start here.

JobsFree resume builderCompaniesLog in
Apply

Senior Data Engineer

Posted 21 days agoViewed

View full description

💎 Seniority level: Senior, 7+ years

📍 Location: United States

💸 Salary: 104981.0 - 157476.0 USD per year

🔍 Industry: Mental healthcare

🏢 Company: Headspace👥 11-50WellnessHealth CareChild Care

🗣️ Languages: English

⏳ Experience: 7+ years

🪄 Skills: AWSETLSnowflakeData engineeringData modeling

Requirements:
  • 7+ years of proven success designing and implementing large-scale enterprise data systems.
  • Deep experience with industry-leading tools such as Databricks, Snowflake, and Redshift.
  • Demonstrated expertise in architectural patterns for building high-volume real-time and batch ETL pipelines.
  • Proven ability to partner effectively with product teams to drive alignment and deliver solutions.
  • Exceptional oral and written communication abilities.
  • Experience in coaching and mentoring team members.
Responsibilities:
  • Architect and implement robust data pipelines to ingest, aggregate, and index diverse data sources into the organization’s data lake.
  • Lead the creation of a secure, compliant, and privacy-focused data warehousing solution tailored to healthcare industry requirements.
  • Partner with the data analytics team to deliver a data platform that supports accurate reporting on business metrics.
  • Collaborate with data science and machine learning teams to build tools for rapid experimentation and innovation.
  • Mentor and coach data engineers while promoting a culture valuing data as a strategic asset.
Apply

Related Jobs

Apply
🔥 Senior Data Engineer
Posted about 6 hours ago

📍 United States, Canada

🧭 Full-Time

🔍 Software Development

🏢 Company: Float.com

  • Expertise in machine learning and advanced algorithms
  • Proficient in Python or Java, comfortable with SQL and Javascript/Typescript
  • Experience with large-scale data pipelines and stream processing
  • Skilled in data integration, cleaning, and validation
  • Familiar with vector and graph databases
  • Lead technical viability discussions
  • Develop and test proof-of-concepts for Resource Recommendation Engine
  • Conduct comprehensive analysis of existing data
  • Implement and maintain data streaming pipeline
  • Develop and implement advanced algorithms
  • Design, implement, and maintain streaming data architecture
  • Establish best practices for optimization and AI
  • Mentor and train team members

PythonSQLKafkaMachine LearningAlgorithmsData engineering

Posted about 6 hours ago
Apply
Apply
🔥 Senior Data Engineer
Posted 2 days ago

📍 United States, Canada

🧭 Full-Time

🔍 B2B SaaS

🏢 Company: Sanity

  • 4+ years of experience building data pipelines at scale
  • Deep expertise in SQL, Python, and Node.js/TypeScript
  • Production experience with Airflow and RudderStack
  • Track record of building reliable data infrastructure
  • Design, develop, and maintain scalable ETL/ELT pipelines
  • Collaborate to implement and scale product telemetry
  • Establish best practices for data ingestion and transformation
  • Monitor and optimize data pipeline performance

Node.jsPythonSQLApache AirflowETLTypeScript

Posted 2 days ago
Apply
Apply
🔥 Senior Data Engineer
Posted 2 days ago

📍 United States, Canada

🧭 Full-Time

🔍 E-commerce

  • Bachelor's or Master's degree in Computer Science or related field
  • 5+ years of experience in data engineering
  • Strong proficiency in SQL and database technologies
  • Experience with data pipeline orchestration tools
  • Proficiency in programming languages like Python and Scala
  • Hands-on experience with AWS cloud data services
  • Familiarity with big data frameworks like Apache Spark
  • Knowledge of data modeling and warehousing
  • Experience implementing CI/CD for data pipelines
  • Real-time data processing architectures experience
  • Design, develop, and maintain ETL/ELT pipelines
  • Optimize data architecture and storage solutions
  • Work with AWS for scalable data solutions
  • Ensure data quality, integrity, and security
  • Collaborate with cross-functional teams
  • Monitor and troubleshoot data workflows
  • Create APIs for analytical information

AWSPostgreSQLPythonSQLApache AirflowETLKafkaMySQLSnowflakeCI/CDScala

Posted 2 days ago
Apply
Apply
🔥 Senior Data Engineer
Posted 6 days ago

📍 United States, Canada

🧭 Full-Time

🔍 Software Development

🏢 Company: BioRender👥 101-250💰 $15,319,133 Series A almost 2 years agoLife ScienceGraphic DesignSoftware

  • 7+ years of data engineering experience of relevant industry experience
  • Expertise working with Data Warehousing platforms (AWS RedShift or Snowflake preferred) and data lake / lakehouse architectures
  • Experience with Data Streaming platforms (AWS Kinesis / Firehose preferred)
  • Expertise with SQL and programming languages commonly used in data platforms (Python, Spark, etc)
  • Experience with data pipeline orchestration (e.g., Airflow) and data pipeline integrations (e.g. Airbyte, Stitch)
  • Building and maintaining the right architecture and tooling to support our data science, analytics, product, and machine learning initiatives.
  • Solve complex architectural problems
  • Translate deeply technical designs into business appropriate representations as well as analyze business needs and requirements ensuring implementation of data services directly correlates to the strategy and growth of the business

AWSPythonSQLApache AirflowSnowflakeData engineeringSparkData modeling

Posted 6 days ago
Apply
Apply
🔥 Senior Data Engineer, Capacity Systems & Analytics
Posted 11 days ago

📍 United States

🧭 Full-Time

💸 175000.0 - 205000.0 USD per year

🔍 Software Development

🏢 Company: CoreWeave💰 $642,000,000 Secondary Market about 1 year agoCloud ComputingMachine LearningInformation TechnologyCloud Infrastructure

  • Hands-on experience applying Kimball Dimensional Data Modeling principles to large datasets.
  • Expertise in working with analytical table/file formats, including Iceberg, Parquet, Avro, and ORC.
  • Proven experience optimizing MPP databases (StarRocks, Snowflake, BigQuery, Redshift).
  • Minimum 5+ years of programming experience in Python or Scala.
  • Advanced SQL skills, with a strong ability to write, optimize, and debug complex queries.
  • Hands-on experience with Airflow for batch orchestration distributed computing frameworks like Spark or Flink.
  • Develop and maintain data models, including star and snowflake schemas, to support analytical needs across the organization.
  • Establish and enforce best practices for dimensional modeling in our Lakehouse.
  • Engineer and optimize data storage using analytical table/file formats (e.g., Iceberg, Parquet, Avro, ORC).
  • Partner with BI, analytics, and data science teams to design datasets that accurately reflect business metrics.
  • Tune and optimize data in MPP databases such as StarRocks, Snowflake, BigQuery, or Redshift.
  • Collaborate on data workflows using Airflow, building and managing pipelines that power our analytical infrastructure.
  • Ensure efficient processing of large datasets through distributed computing frameworks like Spark or Flink.

AWSDockerPythonSQLCloud ComputingETLKubernetesSnowflakeAirflowAlgorithmsApache KafkaData engineeringData StructuresREST APISparkCommunication SkillsAnalytical SkillsCollaborationCI/CDRESTful APIsDevOpsTerraformProblem-solving skillsJSONScalaData visualizationAnsibleData modelingData analyticsDebugging

Posted 11 days ago
Apply
Apply
🔥 Senior Data Engineer - Contract to Hire (REMOTE)
Posted 16 days ago

📍 OR, WA, CA, CO, TX, IL

🧭 Contract

💸 65.0 - 75.0 USD per hour

🔍 Music industry

🏢 Company: Discogs👥 51-100💰 $2,500,000 about 7 years agoDatabaseCommunitiesMusic

  • Proficiency in data integration and ETL processes.
  • Knowledge of programming languages such as Python, Java, or Javascript.
  • Familiarity with cloud platforms and services (e.g., AWS, GCP, Azure).
  • Understanding of data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake).
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills to work effectively with cross-functional teams.
  • Experience with marketing automation platforms.
  • Experience with data warehouses in a marketing context.
  • Knowledge of API integration and data exchange formats such as JSON, XML, and CSV.
  • Design, develop, and maintain data pipelines to ingest, process, and store data.
  • Implement data validation and quality checks to maintain the integrity of incoming data.
  • Optimize and automate data workflows to improve efficiency and reduce manual intervention.
  • Work closely with the product, engineering, marketing and analytics teams to support data-driven decision-making.
  • Develop and maintain documentation related to data processes, workflows, and system architecture.
  • Troubleshoot and resolve data-related issues promptly to minimize disruptions.
  • Monitor and enhance the performance of data infrastructure, ensuring scalability and reliability.
  • Stay updated with industry trends and best practices in data engineering to apply improvements.

AWSPythonApache AirflowETLGCPMySQLSnowflakeApache KafkaAzureJSON

Posted 16 days ago
Apply
Apply
🔥 Senior Data Engineer
Posted 23 days ago

📍 United States, Canada

🧭 Regular

💸 125000.0 - 160000.0 USD per year

🔍 Digital driver assistance services

🏢 Company: Agero👥 1001-5000💰 $4,750,000 over 2 years agoAutomotiveInsurTechInformation TechnologyInsurance

  • Bachelor's degree in a technical field and 5+ years or Master's degree with 3+ years of industry experience.
  • Extensive experience with Snowflake or other cloud-based data warehousing solutions.
  • Expertise in ETL/ELT pipelines using tools like Airflow, DBT, Fivetran.
  • Proficiency in Python for data processing and advanced SQL for managing databases.
  • Solid understanding of data modeling techniques and cost management strategies.
  • Experience with data quality frameworks and deploying data solutions in the cloud.
  • Familiarity with version control systems and implementing CI/CD pipelines.
  • Develop and maintain ETL/ELT pipelines to ingest data from diverse sources.
  • Monitor and optimize cloud costs while performing query optimization in Snowflake.
  • Establish modern data architectures including data lakes and warehouses.
  • Apply dimensional modeling techniques and develop transformations using DBT or Spark.
  • Write reusable and efficient code, and develop data-intensive UIs and dashboards.
  • Implement data quality frameworks and observability solutions.
  • Collaborate cross-functionally and document data flows, processes, and architecture.

AWSPythonSQLApache AirflowDynamoDBETLFlaskMongoDBSnowflakeFastAPIPandasCI/CDData modeling

Posted 23 days ago
Apply
Apply
🔥 Senior Data Engineer
Posted 27 days ago

📍 United States, Canada

🧭 Full-Time

🔍 Software Development

🏢 Company: EquipmentShare

  • 7+ years of relevant data platform development experience
  • Proficient with SQL and an object-oriented language like Python
  • Experience with distributed data architecture
  • Building and managing data pipelines using tools like Airflow, dbt, MLFlow
  • Experience with Kafka, Spark, Flink or similar systems
  • Collaborate with cross-functional teams to take ideas from concept to production
  • Design, build and maintain data platform for automation and self-service
  • Build and maintain CI/CD pipelines for data and machine learning deployment
  • Develop data monitoring and alerting capabilities
  • Document architecture and processes for knowledge sharing
  • Mentor peers

AWSPythonSQLApache AirflowKafkaMLFlowSnowflakeSparkCI/CD

Posted 27 days ago
Apply
Apply
🔥 Senior Data Engineer - Verikai
Posted 30 days ago

📍 United States of America

🧭 Full-Time

💸 110000.0 - 160000.0 USD per year

🔍 Insurance industry

🏢 Company: Verikai_External

  • Bachelor's degree or above in Computer Science, Data Science, or a related field.
  • At least 5 years of relevant experience.
  • Proficient in SQL, Python, and data processing frameworks such as Spark.
  • Hands-on experience with AWS services including Lambda, Athena, Dynamo, Glue, Kinesis, and Data Wrangler.
  • Expertise in handling large datasets using technologies like Hadoop and Spark.
  • Experience working with PII and PHI under HIPAA constraints.
  • Strong commitment to data security, accuracy, and compliance.
  • Exceptional ability to communicate complex technical concepts to stakeholders.
  • Design, build, and maintain robust ETL processes and data pipelines for large-scale data ingestion and transformation.
  • Manage third-party data sources and customer data to ensure clean and deduplicated datasets.
  • Develop scalable data storage systems using cloud platforms like AWS.
  • Collaborate with data scientists and product teams to support data needs.
  • Implement data validation and quality checks, ensuring accuracy and compliance with regulations.
  • Integrate new data sources to enhance the data ecosystem and document data strategies.
  • Continuously optimize data workflows and research new tools for the data infrastructure.

AWSPythonSQLDynamoDBETLSpark

Posted 30 days ago
Apply
Apply
🔥 Senior Data Engineer
Posted about 1 month ago

📍 US & Canada

🔍 Fintech

🏢 Company: Mesa👥 11-50Product DesignManufacturingProfessional ServicesSoftware

  • 5+ years of software engineering and operationalizing data pipelines with large and complex datasets.
  • Experience with data modeling, ETL, and patterns for efficient data governance.
  • Experience manipulating large-scale structured and unstructured data.
  • Experience working with batch and stream processing.
  • Strong proficiency with Typescript is a must.
  • Strong SQL skills.
  • Experience using dashboarding tools like Mode, Tableau, Looker.
  • Passionate about event-driven architecture, microservices, data reliability, and observability.
  • Ability to thrive in a fast-paced startup environment and handle ambiguity.
  • Lead data engineering at Mesa by developing and operationalizing scalable and reliable data pipelines.
  • Assemble large, complex data sets that meet functional and non-functional requirements.
  • Work with product and cross functional business stakeholders to enable visualization layers for data-driven decision-making.
  • Drive technical delivery, including architectural design, development, and QA.
  • Participate in customer discovery efforts as beta users help refine the product.

PostgreSQLSQLETLTypeScriptData engineeringMicroservicesData modeling

Posted about 1 month ago
Apply