Data Engineer + Scientist Hybrid Job at Spoak Decor

Data Engineer II

We’re looking for a Data Engineer II to join our Decisions & Insights team — the...

Location

United States , San Francisco

Salary:

101250.00 - 162000.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

3+ years of experience as a Data Engineer, Analytics Engineer, or similar hybrid role
Advanced SQL skills with strong understanding of schema design and analytical database patterns
Strong Python experience for data manipulation, scripting, and automation
Strong analytical mindset, attention to detail, and a passion for turning complex datasets into clear insights
Solid Git experience for collaboration and version control
Experience integrating and analyzing data from AWS services (e.g., Redshift, S3, APIs)

Job Responsibility

Design, develop, and maintain automated ETL/ELT pipelines and analytical models in Redshift using SQL, dbt, or SQLMesh
Build clean, structured datasets that enable fast, self-serve insights for PMs, analysts, and operational agents
Create dashboards and analytical tools (e.g., Tableau) that make insights intuitive and actionable
Optimize SQL queries, schemas, and table designs for high-volume analytics workloads
Partner with product managers, data scientists, and engineering teams to deliver analysis that supports product and operational decisions
Use Python to automate processing, improve pipeline reliability, and support advanced analytical workflows
Apply best practices for Git-based version control, testing, documentation, and data quality monitoring
Participate in design reviews for new analytical features and data systems

What we offer

Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
Snacks in our offices

Fulltime

Data Engineer, Solutions Architecture

We are seeking a talented Data Engineer to design, build, and maintain our data ...

Location

United States , Scottsdale

Salary:

90000.00 - 120000.00 USD / Year

Clearway Energy

Expiration Date

Until further notice

Requirements

2-4 years of hands-on data engineering experience in production environments
Bachelor's degree in Computer Science, Engineering, or a related field
Proficiency in Dagster or Airflow for pipeline scheduling, dependency management, and workflow automation
Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
Strong Python and SQL skills for data processing and automation
1-2+ years of experience with continuous integration and continuous deployment practices and tools (Git, GitHub Actions, GitLab CI, or similar)
Advanced SQL skills, database design principles, and experience with multiple database platforms
Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
Experience with APIs, streaming platforms (Kafka, Kinesis), and various data connectors and formats

Job Responsibility

Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
Optimize query performance and resource utilization to control costs and improve processing speed
Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
Implement workflow automation and dependency management for critical business operations
Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
Support advanced analytics initiatives through proper data preparation and feature engineering
Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets

What we offer

generous PTO
medical, dental & vision care
HSAs with company contributions
health FSAs
dependent daycare FSAs
commuter benefits
relocation
a 401(k) plan with employer match
a variety of life & accident insurances
fertility programs

Fulltime

Junior Data Scientist

Aramark Sports + Entertainment is hiring a Junior Data Scientist - Oracle Park, ...

Location

United States , San Francisco

Salary:

70000.00 - 95000.00 USD / Year

Aramark

Expiration Date

Until further notice

Requirements

Must be legally authorized to work in the United States without the need for current or future employment-based sponsorship from Aramark
Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related field
equivalent practical experience may be considered
1–3 years of experience in an analytical or data science role
Proficiency in data manipulation and transformation using Python or R
Familiarity with SQL for data querying and analysis
Knowledge of data science workflows including data cleaning, feature engineering, and predictive modeling
Effective organizational and time management skills, with the ability to manage multiple projects simultaneously
Solid understanding of statistics, experimental design, and core data science concepts
Strong communication skills with the ability to present findings and recommendations to technical and non-technical audiences

Job Responsibility

Analyze consumer behavior at Oracle Park by leveraging purchasing and dining data to identify key customer segments. Present insights using statistical methods and engaging visualizations tailored to diverse stakeholder audiences
Evaluate operational performance by integrating data from labor tracking, Point of Sale (POS), and inventory systems. Identify inefficiencies and recommend actionable improvements to enhance venue operations
Conduct ad-hoc analyses to assess the effectiveness of short-term strategies. Collaborate with cross-functional teams to define success metrics and deliver timely, data-backed evaluations
Support the development of automated reporting workflows that deliver key performance metrics to stakeholders, including Oracle Park operations and the San Francisco Giants
Assist in building scalable data pipelines using Python, R, and SQL to streamline data access and support analytics and reporting initiatives
Perform machine learning experiments and model evaluation tasks under the guidance of the team’s Lead Data Scientist

What we offer

medical, dental, vision, and work/life resources
retirement savings plans like 401(k)
paid days off such as parental leave and disability coverage

Fulltime

Technical Lead – AI/ML & Data Platforms

We are seeking a Technical Lead with strong managerial capabilities to drive the...

Location

United States , Sunnyvale

Salary:

Not provided

Thirdeye Data

Expiration Date

Until further notice

Requirements

Strong expertise in data pipelines, architecture, and analytics platforms (e.g., Snowflake, Tableau)
Experience reviewing and optimizing data transformations, aggregations, and business logic
Hands-on familiarity with LLMs and practical RAG implementations
Knowledge of AI/ML workflows, model lifecycle management, and experimentation frameworks
Proven experience in managing complex, multi-track projects
Skilled in project tracking and collaboration tools (Jira, Confluence, or equivalent)
Excellent communication and coordination skills with technical and non-technical stakeholders
Experience working with cross-functional, globally distributed teams

Job Responsibility

Coordinate multiple workstreams simultaneously, ensuring timely delivery and adherence to quality standards
Facilitate daily stand-ups and syncs across global time zones, maintaining visibility and accountability
Understand business domains and technical architecture to enable informed decisions and proactive risk management
Collaborate with data engineers, AI/ML scientists, analysts, and product teams to translate business goals into actionable plans
Track project progress using Agile or hybrid methodologies, escalate blockers, and resolve dependencies
Own task lifecycle — from planning through execution, delivery, and retrospectives
Perform technical reviews of data pipelines, ETL processes, and architecture, identifying quality or design gaps
Evaluate and optimize data aggregation logic while ensuring alignment with business semantics
Contribute to the design and development of RAG pipelines and workflows involving LLMs
Create and maintain Tableau dashboards and reports aligned with business KPIs for stakeholders

Fulltime

Data Engineer

Location

Vietnam , Hà Nội

Salary:

Not provided

CMC Global Company Limited.

Expiration Date

Until further notice

Requirements

Data Engineer with strong Hadoop / Spark / Talend experience
Experience building and operating large-scale data lakes and data warehouses
Experience with Hadoop ecosystem and big data tools, including Spark and Kafka
Experience with Master Data Management (MDM) tools and platforms such as Informatica MDM, Talend Data Catalog, Semarchy xDM, IBM PIM & IKC, or Profisee
Familiarity with MDM processes such as golden record creation, survivorship, reconciliation, enrichment, and quality
Experience in data governance, including data quality management, data profiling, data remediation, and automated data lineage
Experience with stream-processing systems including Spark-Streaming
Experience working with Cloud services using one or more Cloud providers such as Azure, GCP, or AWS
Experience with Delta Lake and Databricks
Advanced working experience with relational SQL and NoSQL databases, including Hive, HBase, and Postgres

Job Responsibility

Create and manage a single master record for each business entity, ensuring data consistency, accuracy, and reliability
Implement data governance processes, including data quality management, data profiling, data remediation, and automated data lineage
Create and maintain multiple robust and high-performance data processing pipelines within Cloud, Private Data Centre, and Hybrid data ecosystems
Assemble large, complex data sets from a wide variety of data sources
Collaborate with Data Scientists, Machine Learning Engineers, Business Analysts, and Business users to derive actionable insights and reliable foresights into customer acquisition, operational efficiency, and other key business performance metrics
Develop, deploy, and maintain multiple microservices, REST APIs, and reporting services
Design and implement internal processes to automate manual workflows, optimize data delivery, and re-design infrastructure for greater scalability
Establish expertise in designing, analyzing, and troubleshooting large-scale distributed systems
Support and work with cross-functional teams in a dynamic environment

What we offer

Attractive compensation package: 14-month salary scheme plus annual bonus and additional allowances
Annual bonus package tailored based on performance and contribution
Young, open, and dynamic working environment that promotes innovation and creativity
Ongoing learning and development with regular professional training and opportunities to enhance both technical and soft skills
Exposure to cutting-edge technologies and diverse real-world enterprise projects
Vibrant company culture with regular team-building activities, sports tournaments, arts events, Family Day, and more
Full compliance with Vietnamese labor laws, plus additional internal perks such as annual company trips, special holidays, and other corporate benefits

Fulltime

Senior Data Scientist

At Valtech, you’ll find an environment designed for continuous learning, meaning...

Location

North Macedonia

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Several years of experience as a Senior Data Scientist / ML Engineer / Software Engineer (or equivalent) with demonstrable productive ML systems
In-depth knowledge of ML (Supervised/Unsupervised, Sequences/Time Series, Anomaly Detection, Classification/Regression) and solid understanding of statistics/evaluation
First-principles thinking: You can not only "apply" models, but also derive them, question them, and combine them with domain knowledge (hybrid approaches)
Scientific curiosity paired with pragmatism: forming hypotheses, testing experimentally, delivering results

Job Responsibility

Development and validation of models/algorithms for use cases such as: Gait analysis and movement pattern recognition (gait pattern, stability, deviations, trend analyses)
New features such as delirium, complex risk indicators, clinical "events"
Experiment Design & Measurability: Definition of metrics, offline evaluation, golden sets, reproducibility, performance/robustness
Feature Engineering & Representation Learning: Derive meaningful representations from radar data (incl. domain understanding)
Evaluation of new approaches for radar-based patient monitoring (classic ML, deep learning, probabilistic models, first principles, and hybrid methods)

What we offer

Private health insurance
Education program with training and certification
Wellbeing program
Free beverages
Events
Competitive salary and 24 days of vacation
Challenging projects
Cool colleagues
Honest feedback

Cloud Data Engineer

Join BIP – xTech, BIP's Centre of Excellence specializing in innovative consulti...

Location

Albania , Tirana

Salary:

Not provided

Business Integration Partners

Expiration Date

Until further notice

Requirements

Experience in the implementation and management of cloud‑based data platforms
Knowledge of one or more cloud platforms (e.g., Google GCP, Amazon AWS, Microsoft Azure) and their services supporting data management, processing, and analysis
Knowledge of key concepts of modern data platforms (e.g., Big Data, Data Lake, Data Warehouse, Data Virtualization, Data Mesh, Data Governance, etc.)
Experience in designing data models and creating/maintaining data pipelines for data extraction, transformation, and loading
Knowledge of one or more programming and data query languages (e.g., SQL, Java, Ruby, Python, R…)
In‑depth knowledge of one or more technologies for managing structured and unstructured databases (e.g., BigQuery, MongoDB, Hadoop, Redis, etc.)

Job Responsibility

Working on Big Data or hybrid Data Platforms, on‑premises or cloud, implementing batch or real‑time processing pipelines, and performing transformation and handling of structured and unstructured data
Autonomous in the phases of data acquisition, historization, cleansing, anonymization/crypting/masking, null-value and outlier handling, aggregation, structuring of unstructured data, creation of quality KPIs, and preparation of data for different users
Receiving Machine Learning models from Data Scientists, optimizing them for scalable execution—for example by applying computational parallelism—and integrating/scheduling them for efficient automated execution
Working with various technologies, chosen based on the specific project and client, favoring cloud‑native and globally scalable architectures
Provide Advisory support to select Engineering technologies within emerging Big Data architectures or to improve existing ecosystems
Build relationships with clients, vendors, and partners
Actively contribute to the Community through research activities, scouting, new solution concepts, and business development

Fulltime

Data Engineer

Improve BlackRock’s ability to enhance our retail sales distribution capabilitie...

Location

United States , New York

Salary:

132500.00 - 162000.00 USD / Year

BlackRock Investments

Expiration Date

March 23, 2026

Requirements

Overall 4+ years of hands-on experience in computer/software engineering with majority in big data engineering
4+ years of strong Python or Scala programming skills (Core Python and PySpark) including hands-on experience creating and supporting UDFs and modules like pytest
4+ years of experience with building and optimizing ‘big data’ pipelines, architectures, and data sets. Familiarity with data pipeline and workflow management tools (e.g., Airflow, DBT, Kafka)
4+ years of hands-on experience on developing on Spark in a production environment. Expertise on parallel execution, deciding resources and different modes of executing jobs is required
4+ years of experience using Hive (on Spark), Yarn (logs, DAG flow diagrams), Sqoop. Proficiency bucketing, partitioning, tuning and handling different file formats (ORC, PARQUET & AVRO)
4+ years of experience using Transact SQL (e.g., MS SQ Server, MySQL), No-SQL and GraphQL
Strong experience implementing solutions on Snowflake
Experience with data quality and validation frameworks, especially Great Expectations for automated testing
Strong understanding and use of Swagger/OpenAPI for designing, documenting, and testing RESTful APIs
Experience in deployment, maintenance, and administration tasks related to Cloud (AWS, Azure Preferred), OpenStack, Docker, Kafka and Kubernetes. Familiarity with CI/CD pipelines for data pipeline automation and deployment (Jenkins, GitLab CI, Azure DevOps)

Job Responsibility

Lead in the creation and maintenance of optimized data pipeline architectures on large and complex data sets
Assemble large, complex data sets that meet business requirements
Act as lead to identify, design, and implement internal process improvements and relay to relevant technology organization
Work with stakeholders to assist in data-related technical issues and support their data infrastructure needs
Automate manual ingest processes and optimize data delivery subject to service level agreements
work with infrastructure on re-design for greater scalability
Keep data separated and segregated according to relevant data policies
Demonstrated ability to join a complex global team, collaborate crossfunctionally (data scientists, platform engineers, business stakeholders), and take ownership of major components of the data platform ecosystem and develop data ready tools to support their job
Be up-to-date with the latest tech trends in the big-data space and recommend them as needed
Identify, investigate, and resolve data discrepancies by finding the root cause of issues

What we offer

Annual discretionary bonus
Healthcare
Leave benefits
Retirement benefits
Strong retirement plan
Tuition reimbursement
Comprehensive healthcare
Support for working parents
Flexible Time Off (FTO)

Fulltime

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Data Engineer + Scientist Hybrid

Spoak Decor

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 20, 2026

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