Remoote.app

Work from anywhere. Start here.

JobsFree resume builderCompaniesLog in
Apply

Staff Data Engineer

Posted 2 days agoViewed

View full description

💎 Seniority level: Staff, 8+ years

💸 Salary: 130000.0 - 170000.0 USD per year

🔍 Industry: Entertainment and Media

⏳ Experience: 8+ years

Requirements:
  • 8+ years of experience in a data engineering role, leading data engineering teams.
  • Understanding of ETL/ELT principles, cloud technologies (AWS, Azure, GCP), and data modeling.
  • Experience building data pipelines using Python/SQL.
  • Understanding of REST-based APIs and AI workload components.
  • Bachelor's degree in computer science, Data Science, or related fields.
Responsibilities:
  • Design, build, and scale data pipelines across various source systems and streams.
  • Collaborate with cross-functional teams for data requirements and integration strategies.
  • Support APIs and machine learning services, working closely with data scientists.
  • Implement design patterns optimizing performance, cost, security, and user experience.
  • Create automated tests for code compatibility and document to assist developers and business users.
Apply

Related Jobs

Apply
🔥 Staff Data Engineer
Posted 9 days ago

📍 United States

🧭 Full-Time

💸 170000.0 - 195000.0 USD per year

🔍 Healthcare

🏢 Company: Parachute Health👥 101-250💰 $1,000 about 5 years agoMedicalHealth CareSoftware

  • 5+ years of relevant experience.
  • Experience in Data Engineering with Python.
  • Experience building customer-facing software.
  • Strong listening and communication skills.
  • Time management and organizational skills.
  • Proactive, a driven self-starter who can work independently or as part of a team.
  • Ability to think with the 'big picture' in mind.
  • Passionate about improving patient outcomes in the healthcare space.
  • Architect solutions to integrate and manage large volumes of data across various internal and external systems.
  • Establish best practices and data governance standards to ensure that data infrastructure is built for long-term scalability.
  • Build and maintain a reporting product for external customers that visualizes data and provides tabular reports.
  • Collaborate across the organization to assess data engineering needs.

PythonETLAirflowData engineeringData visualization

Posted 9 days ago
Apply
Apply
🔥 Staff Data Engineer, Marketing Tech
Posted 11 days ago

🔍 Meal delivery and marketing technology

  • BS degree in Computer Science or related fields; MS or Ph.D. preferred.
  • 8+ years of industry experience in a fast-paced tech environment.
  • Expertise in customer data platforms, particularly Segment.
  • Proficiency with A/B testing platforms like SiteSpect.
  • Strong understanding of advertising platforms like Google Ads and Meta.
  • Experience in Data Engineering technologies.
  • Experience in both mobile and desktop MarTech environments.
  • Deep knowledge of API integrations and data management.
  • Strong problem-solving and communication skills.
  • Fluent in English.
  • Lead the architecture, implementation, and integration of the marketing technology stack across desktop and mobile environments.
  • Collaborate with cross-functional teams to integrate customer data platforms, building custom data pipelines.
  • Support A/B testing strategies and optimize website and app performance.
  • Integrate advertising platforms to ensure accurate tracking and reporting.
  • Ensure data quality and governance for customer data flows.
  • Support personalization strategies through MarTech tools.
  • Provide technical leadership in scoping MarTech solutions.
  • Monitor and troubleshoot system integrations.
  • Design scalable APIs and reliable production systems.
  • Stay current with industry trends and recommend improvements.
Posted 11 days ago
Apply
Apply
🔥 Staff Data Engineer, Ads
Posted 24 days ago

📍 US

🧭 Full-Time

💸 206700.0 - 289400.0 USD per year

🔍 Social Media / Technology

  • MS or PhD in a quantitative discipline: engineering, statistics, operations research, computer science, informatics, applied mathematics, economics, etc.
  • 7+ years of experience with large-scale ETL systems and building clean, maintainable code (Python preferred).
  • Strong programming proficiency in Python, SQL, Spark, Scala.
  • Experience with data modeling, ETL concepts, and patterns for data governance.
  • Experience with data workflows, data modeling, and engineering.
  • Experience in data visualization and dashboard design using tools like Looker, Tableau, and D3.
  • Deep understanding of relational and MPP database designs.
  • Proven track record of cross-functional collaboration and excellent communication skills.
  • Act as the analytics engineering lead within Ads DS team contributing to data science data quality and automation initiatives.
  • Work on ETLs, reporting dashboards, and data aggregations for business tracking and ML model development.
  • Develop and maintain robust data pipelines for data ingestion, processing, and transformation.
  • Create user-friendly tools for internal team use, streamlining analysis and reporting processes.
  • Lead efforts to build a data-driven culture by enabling data self-service.
  • Provide technical guidance and mentorship to data analysts.

PythonSQLETLAirflowSparkScalaData visualizationData modeling

Posted 24 days ago
Apply
Apply
🔥 Staff Data Engineer
Posted about 1 month ago

🧭 Full-Time

💸 170000.0 - 205000.0 USD per year

🔍 Digital health

🏢 Company: Wellth

  • 7+ years in analytics engineering or data analysis within healthcare.
  • Expertise in sensitive healthcare data and developing strategic insights.
  • Proficiency in SQL, Python, DBT, and data visualization.
  • Solid understanding of healthcare data standards and analytics best practices.
  • Lead the design and implementation of scalable data pipelines for healthcare data.
  • Create foundational data layers for analytics engineers.
  • Manage new data sources, ensuring data quality and accessibility.
  • Own and evolve data schemas and governance structures.
  • Collaborate with leadership to define data strategies.
Posted about 1 month ago
Apply
Apply
🔥 Senior/Staff Data Engineer
Posted about 2 months ago

📍 UK

🔍 Advertising

  • Ability to take an ambiguously defined task, and break it down into actionable steps.
  • Ability to follow through complex projects to completion, both by independent implementation and by coordinating others.
  • Deep understanding of algorithm and software design, concurrency, and data structures.
  • Experience in implementing probabilistic or machine learning algorithms.
  • Experience in designing scalable distributed systems.
  • High GPA from a well-respected Computer Science program or equivalent experience.
  • Design modular and scalable real-time data pipelines to handle huge datasets.
  • Suggest, implement, and coordinate architectural improvements for big data ML pipelines.
  • Understand and implement custom ML algorithms in a low latency environment.
  • Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently.

AWSPythonApache AirflowMachine LearningAlgorithmsData engineeringData Structures

Posted about 2 months ago
Apply
Apply
🔥 Staff Data Engineer
Posted about 2 months ago

📍 USA

🧭 Full-Time

💸 165000.0 - 210000.0 USD per year

🔍 E-commerce and AI technologies

🏢 Company: Wizard👥 11-50Customer ServiceManufacturing

  • 5+ years of professional experience in software development with a focus on data engineering.
  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
  • Proficiency in Python with software engineering best practices.
  • Strong expertise in building ETL pipelines using tools like Apache Spark.
  • Hands-on experience with NoSQL databases like MongoDB, Cassandra, or DynamoDB.
  • Proficiency in real-time stream processing systems such as Kafka or AWS Kinesis.
  • Experience with cloud platforms (AWS, GCP, Azure) and technologies like Delta Lake and Parquet files.
  • Develop and maintain scalable data infrastructure for batch and real-time processing.
  • Build and optimize ETL pipelines for efficient data flow.
  • Collaborate with data scientists and cross-functional teams for accurate monitoring.
  • Design backend data solutions for microservices architecture.
  • Implement and manage integrations with third-party e-commerce platforms.

AWSPythonDynamoDBElasticSearchETLGCPGitHadoopKafkaMongoDBRabbitmqAzureCassandraRedis

Posted about 2 months ago
Apply
Apply
🔥 Staff Data Engineer | GenAI
Posted about 2 months ago

📍 Brazil

🧭 Full-Time

🔍 Corporate wellness

  • Experience in creating robust and scalable data models from business requirements.
  • Collaborative skills for collecting, preparing, and analyzing complex business data.
  • Familiarity with machine learning and AI concepts, particularly in generative AI.
  • Knowledge of data pipeline tools and technologies like Airflow and Kafka.
  • Ability to collaborate with various teams to understand data needs and develop effective data pipelines.
  • Comfort with big data concepts to ingest, process, and provide data to business analysts and product teams.
  • Strong motivation to contribute to a data-driven culture.
  • Develop and maintain data models and structures for efficient querying and analysis.
  • Design, develop, and maintain data pipelines to transform and process large volumes of data from various sources.
  • Implement automated data quality checks to ensure data quality and consistency.

PythonSQLApache AirflowArtificial IntelligenceKafkaMachine LearningData modeling

Posted about 2 months ago
Apply
Apply
🔥 Staff Data Engineer
Posted about 2 months ago

📍 United States

🧭 Full-Time

💸 179000.0 - 277000.0 USD per year

🔍 Healthcare

🏢 Company: Komodo Health👥 100-500💰 $200,000,000 about 2 years ago🫂 Last layoff about 2 years agoPredictive AnalyticsInformation TechnologyHealth CareSoftware

  • Deep expertise in software and data or related fields in healthcare and technology.
  • US Healthcare claims data experience.
  • Extensive experience building scalable, best-in-class solutions.
  • Demonstrated record of thought leadership and solution design.
  • Strong ability to communicate clearly with both technical and non-technical teams.
  • Knowledge of large-scale data and computational technologies.
  • Experience with SQL and query design on large, complex datasets.
  • Ability to use a variety of databases, ideally Snowflake on AWS.
  • Partnering with Engineering team members, Product Managers, and Data Scientists to understand complex health data use cases.
  • Building foundational pieces of the data platform architecture, pipelines, analytics, and services.
  • Architecting and developing reliable data pipelines that transform data at scale using SQL and Python in Snowflake.
  • Contributing to python packages in Github and APIs following current best practices.

PythonSQLSnowflakeAirflowAlgorithmsData engineeringData modeling

Posted about 2 months ago
Apply
Apply
🔥 Staff Data Engineer - R12645
Posted about 2 months ago

📍 India

🔍 Fintech

🏢 Company: Oportun👥 1001-5000💰 $235,000,000 Post-IPO Debt 3 months ago🫂 Last layoff about 1 year agoDebit CardsConsumer LendingFinancial ServicesFinTech

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • 10+ years of experience in data engineering focused on architecture, ETL, and database management.
  • Proficiency in programming languages like Python/PySpark, Java/Scala.
  • Expertise in big data technologies such as Hadoop, Spark, Kafka.
  • In-depth knowledge of SQL and experience with various database technologies.
  • Familiarity with cloud platforms and their data services.
  • Strong leadership, problem-solving, and decision-making skills.
  • Provide technical leadership and mentorship to the data engineering team.
  • Lead the design and implementation of complex data architectures.
  • Design and develop efficient and scalable data pipelines.
  • Oversee design and management of databases and ETL processes.
  • Manage complex data engineering projects ensuring timely delivery.
  • Establish data quality standards and monitoring processes.
  • Collaborate with stakeholders for data solutions.

AWSPostgreSQLPythonSQLApache AirflowCloud ComputingETLGCPHadoopJavaJenkinsKafkaMySQLAzureData engineeringNosqlSparkScala

Posted about 2 months ago
Apply
Apply
🔥 Staff Data Engineer, Ads
Posted 2 months ago

📍 US

🧭 Full-Time

💸 206700 - 289400 USD per year

🔍 Social media / Online community

  • MS or PhD in a quantitative discipline: engineering, statistics, operations research, computer science, informatics, applied mathematics, economics, etc.
  • 7+ years of experience with large-scale ETL systems, building clean, maintainable, object-oriented code (Python preferred).
  • Strong programming proficiency in Python, SQL, Spark, Scala.
  • Experience with data modeling, ETL concepts, and manipulating large structured and unstructured data.
  • Experience with data workflows (e.g., Airflow) and data visualization tools (e.g., Looker, Tableau).
  • Deep understanding of technical and functional designs for relational and MPP databases.
  • Proven track record of collaboration and excellent communication skills.
  • Experience in mentoring junior data scientists and analytics engineers.
  • Act as the analytics engineering lead within Ads DS team and contribute to data science data quality and automation initiatives.
  • Ensure high-quality data through ETLs, reporting dashboards, and data aggregations for business tracking and ML model development.
  • Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation.
  • Create user-friendly tools for internal use across Data Science and cross-functional teams.
  • Lead efforts to build a data-driven culture by enabling data self-service.
  • Provide mentorship and coaching to data analysts and act as a thought partner for data teams.

LeadershipPythonSQLData AnalysisETLTableauStrategyAirflowData engineeringData scienceSparkCommunication SkillsCollaborationMentoringCoachingData visualizationData modeling

Posted 2 months ago
Apply

Related Articles

Remote Job Certifications and Courses to Boost Your Career

Posted 5 months ago

Insights into the evolving landscape of remote work in 2024 reveal the importance of certifications and continuous learning. This article breaks down emerging trends, sought-after certifications, and provides practical solutions for enhancing your employability and expertise. What skills will be essential for remote job seekers, and how can you navigate this dynamic market to secure your dream role?

How to Balance Work and Life While Working Remotely

Posted 6 months ago

Explore the challenges and strategies of maintaining work-life balance while working remotely. Learn about unique aspects of remote work, associated challenges, historical context, and effective strategies to separate work and personal life.

Weekly Digest: Remote Jobs News and Trends (August 11 - August 18, 2024)

Posted 6 months ago

Google is gearing up to expand its remote job listings, promising more opportunities across various departments and regions. Find out how this move can benefit job seekers and impact the market.

How to Onboard Remote Employees Successfully

Posted 6 months ago

Learn about the importance of pre-onboarding preparation for remote employees, including checklist creation, documentation, tools and equipment setup, communication plans, and feedback strategies. Discover how proactive pre-onboarding can enhance job performance, increase retention rates, and foster a sense of belonging from day one.

Remote Work Statistics and Insights for 2024

Posted 6 months ago

The article explores the current statistics for remote work in 2024, covering the percentage of the global workforce working remotely, growth trends, popular industries and job roles, geographic distribution of remote workers, demographic trends, work models comparison, job satisfaction, and productivity insights.