Customer Data Engineer Job at Optimove (New York)

Customer & Marketing Data Engineering Manager

This hybrid role blends marketing strategy, customer analytics, and hands-on eng...

Location

United States , Springfield

Salary:

Not provided

Capstone IT Staffing

Expiration Date

Until further notice

Requirements

10+ years in digital marketing, data analytics, or data engineering
4+ years in a leadership role
Expertise with modern marketing and data technologies: Snowflake, SQL, Python, dbt, Airflow, Google Analytics, Tableau, Power BI
Strong background in connecting MarTech ecosystems (CRM, automation, attribution tools) to enterprise data platforms
Ability to turn marketing goals into clear technical plans and measurable results
Exceptional communication skills and comfort working across technical, marketing, and executive teams
Bachelor’s degree in Marketing, Computer Science, Data Analytics, or related field

Job Responsibility

Build and execute data-driven digital marketing strategies that boost customer acquisition, retention, and engagement
Analyze customer behavior, campaign performance, and conversion data—turning insights into action
Partner with Marketing and Data teams to enable personalization, targeting, and unified reporting
Optimize digital channels (email, social, web) to improve ROI and customer experiences
Integrate CRM, analytics, and marketing automation tools into enterprise data platforms
Lead and mentor a cross-functional team of data engineers, BI developers, and analysts
Oversee the development of scalable data pipelines, integrations, and analytics infrastructure (Snowflake, dbt, Airflow)
Roll up your sleeves to help design data models, review workflows, and troubleshoot complex technical challenges
Modernize outdated systems and implement forward-looking data architectures
Align engineering and marketing roadmaps to ensure technology fuels business outcomes

Software Engineer (Data Engineering)

We are seeking a Software Engineer (Data Engineering) who can seamlessly integra...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

4+ years in Data Engineering and AI/ML roles
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
Python, SQL, Bash, PySpark, Spark SQL, boto3, pandas
Apache Spark on EMR (driver/executor model, sizing, dynamic allocation)
Amazon S3 (Parquet) with lifecycle management to Glacier
AWS Glue Catalog and Crawlers
AWS Step Functions, AWS Lambda, Amazon EventBridge
CloudWatch Logs and Metrics, Kinesis Data Firehose (or Kafka/MSK)
Amazon Redshift and Redshift Spectrum
IAM (least privilege), Secrets Manager, SSM

Job Responsibility

Design, build, and maintain scalable ETL and ELT pipelines for large-scale data processing
Develop and optimize data architectures supporting analytics and ML workflows
Ensure data integrity, security, and compliance with organizational and industry standards
Collaborate with DevOps teams to deploy and monitor data pipelines in production environments
Build predictive and prescriptive models leveraging AI and ML techniques
Develop and deploy machine learning and deep learning models using TensorFlow, PyTorch, or Scikit-learn
Perform feature engineering, statistical analysis, and data preprocessing
Continuously monitor and optimize models for accuracy and scalability
Integrate AI-driven insights into business processes and strategies
Serve as the technical liaison between NStarX and client teams

What we offer

Competitive salary and performance-based incentives
Opportunity to work on cutting-edge AI and ML projects
Exposure to global clients and international project delivery
Continuous learning and professional development opportunities
Competitive base + commission
Fast growth into leadership roles

Fulltime

Data Engineer

As a Data Engineer at Rearc, you'll contribute to the technical excellence of ou...

Location

India , Bengaluru

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

2+ years of experience in data engineering, data architecture, or related fields
Solid track record of contributing to complex data engineering projects
Hands-on experience with ETL processes, data warehousing, and data modelling tools
Good understanding of data integration tools and best practices
Familiarity with cloud-based data services and technologies (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery)
Strong analytical skills
Proficiency in implementing and optimizing data pipelines using modern tools and frameworks
Strong communication and interpersonal skills

Job Responsibility

Collaborate with Colleagues to understand customers' data requirements and challenges
Apply DataOps Principles to create scalable and efficient data pipelines and architectures
Support Data Engineering Projects
Promote Knowledge Sharing through technical blogs and articles

Lead Data Engineer

As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and...

Location

United States

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

10+ years of experience in data engineering, data architecture, or related technical fields
Proven ability to design, build, and optimize large-scale data ecosystems
Strong track record of leading complex data engineering initiatives
Deep hands-on expertise in ETL/ELT design, data warehousing, and data modeling
Extensive experience with data integration frameworks and best practices
Advanced knowledge of cloud-based data services and architectures (AWS Redshift, Azure Synapse Analytics, Google BigQuery, or equivalent)
Strong strategic and analytical thinking
Proficiency with modern data engineering frameworks (Databricks, Spark, lakehouse technologies like Delta Lake)
Exceptional communication and interpersonal skills

Job Responsibility

Engage deeply with stakeholders to understand data needs, business challenges, and technical constraints
Translate stakeholder needs into scalable, high-quality data solutions
Implement with a DataOps mindset using tools like Apache Airflow, Databricks/Spark, Kafka
Build reliable, automated, and efficient data pipelines and architectures
Lead and execute complex projects
Provide technical direction and set engineering standards
Ensure alignment with customer goals and company principles
Mentor and develop data engineers
Promote knowledge sharing and thought leadership
Contribute to internal and external content

What we offer

Comprehensive health benefits
Generous time away and flexible PTO
Maternity and paternity leave
Access to educational resources with reimbursement for continued learning
401(k) plan with company contribution

Data Engineering Tech Lead/Architect

Andersen is hiring a Data Engineering Tech Lead/Architect in the EU to lead the ...

Location

Salary:

Not provided

Andersen

Expiration Date

Until further notice

Requirements

Experience as a Data Engineering Tech Lead/Architect for 6+ years
Ability to design complex systems, not just create reports
Expertise in MicroStrategy / Power BI (dashboards, semantic layer, data modeling) and Talend DMP (integration, ETL/ELT)
At least 6 months of experience with the MicroStrategy SDK, including embedding reports into Typo3 CMS and Java application servers (Tomcat)
Experience with Data Warehouse architecture, role-based access models, and incremental data loading
Understanding of regulatory reporting (Meldewesen) and ability to translate business requirements into technical solutions
Ability to work autonomously, make architectural decisions, and clearly explain them to stakeholders
Level of English – from Upper-Intermediate and above
Level of German – from Advanced and above

Job Responsibility

Designing data architecture from scratch, including modeling the data warehouse, defining security, performance, and data structure
Configuring and developing ETL/ELT processes in Talend DMP: integrating data from multiple sources (DB-Link, FTP, API), cleaning, transforming, and loading it into the data warehouse
Implementing Full-Load and Delta-Load strategies and optimizing data refresh workflows
Developing analytical reports and dashboards in MicroStrategy, including configuring the business-oriented semantic data layer
Designing and configuring a role-based data access model (Zugriffsberechtigung) at both BI and database levels
Participating in building the corporate reporting system (Meldewesen): understanding business needs and translating them into technical architecture
Consulting the customer on BI infrastructure design and optimization of business processes

What we offer

Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others
The opportunity to change the project and/or develop expertise in an interesting business domain
Guarantee of professional, financial, and career growth
The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities
Access to the corporate training portal
Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies)
Certification compensation (AWS, PMP, etc)
Referral program
English courses
Private health insurance and compensation for sports activities

Senior Data Platform Engineer

We are looking for an experienced data engineer to join our platform engineering...

Location

United States

Salary:

141000.00 - 225600.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering, software engineering with a data focus, data science, or a related role
Knowledge of designing data pipelines from a variety of source (e.g. streaming, flat files, APIs)
Proficiency in SQL and experience with relational databases (e.g., PostgreSQL)
Experience with real-time data processing frameworks (e.g., Apache Kafka, Spark Streaming, Flink, Pulsar, Redpanda)
Strong programming skills in common data-focused languages (e.g., Python, Scala)
Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Prefect, Temporal)
Familiarity with AWS-based data solutions
Strong understanding of data warehousing concepts and technologies (Snowflake)
Experience documenting data dependency maps and data lineage
Strong communication and collaboration skills

Job Responsibility

Design, implement, and maintain scalable data pipelines and infrastructure
Collaborate with software engineers, product managers, customer success managers, and others across the business to understand data requirements
Optimize and manage our data storage solutions
Ensure data quality, reliability, and security across the data lifecycle
Develop and maintain ETL processes and frameworks
Work with stakeholders to define data availability SLAs
Create and manage data models to support business intelligence and analytics

What we offer

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

Data Engineer

At Adyen, we treat data and data artifacts as first-class citizens. They form ou...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adyen

Expiration Date

Until further notice

Requirements

3+ years of experience working as a Data Engineer or in a similar role
Solid understanding of both Software and Data Engineering practices
Proficient in tools and languages such as: Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, Git
Able to effectively communicate complex data-related concepts and outcomes to a diverse range of stakeholders
Capable of identifying opportunities, devising solutions, and handling projects independently
Experimental mindset with a ‘launch fast and iterate’ mentality
Skilled in promoting a data-centric culture within technical teams and advocating for setting standards and continuous improvement

Job Responsibility

Collaborative Solution Development: Engage with a diverse range of stakeholders, including data scientists, analysts, software engineers, product managers, and customers, to understand their requirements and craft effective solutions
Quality Pipelines and Architecture: Design, develop, deploy and operate high-quality production ELT pipelines and data architectures. Integrate data from various sources and formats, ensuring compatibility, consistency, and reliability
Data Best Practices: Help establish and share best practices in performance, code quality, data validation, data governance, and discoverability in your team and in other teams. Participate in mentoring and knowledge sharing initiatives
High Quality Data and Code: Ensure data is accurate, complete, reliable, relevant, and timely. Implement testing, monitoring and validation protocols for your code and data, leveraging tools such as Pytest
Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and systems. Improve query performance and resource utilization to meet SLAs and performance requirements, using technologies Spark optimizations

Principal Data Engineer

Atlassian is looking for a Principal Data Engineer to join our Data Engineering ...

Location

United States , San Francisco; Seattle; Austin

Salary:

168700.00 - 271100.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

12+ years of experience in a Data Engineer role as an individual contributor
At least 2 years of experience as a tech lead for a Data Engineering team
Engineer with a track record of driving and delivering large (multi-person or multi-team) and complex efforts
Great communicator and maintain many of the essential cross-team and cross-functional relationships necessary for the team's success
Experience with building streaming pipelines with a micro-services architecture for low-latency analytics
Experience working with varied forms of data infrastructure, including relational databases (e.g. SQL), Spark, and column stores (e.g. Redshift)
Experience building scalable data pipelines using Spark using Airflow scheduler/executor framework or similar scheduling tools
Experience working in a technical environment with the latest technologies like AWS data services (Redshift, Athena, EMR) or similar Apache projects (Spark, Flink, Hive, or Kafka)
Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team
Industry experience working with large-scale, high-performance data processing systems (batch and streaming) with a "Streaming First" mindset to drive Atlassian's business growth and improve the product experience

Job Responsibility

Own the technical evolution of the data engineering capabilities and be responsible for ensuring solutions are being delivered incrementally, meeting outcomes, and promptly escalating risks and issues
Establish a deep understanding of how things work in data engineering, use this to direct and coordinate the technical aspects of work across data engineering, and systematically improve productivity across the teams
Maintain a high bar for operational data quality and proactively address performance, scale, complexity and security considerations
Drive complex decisions that can impact the work in data engineering
Set the technical direction and balance customer and business needs with long-term maintainability & scale
Understand and define the problem space, and architect solutions
Coordinate a team of engineers towards implementing them, unblocking them along the way if necessary
Lead a team of data engineers through mentoring and coaching, work closely with the engineering manager, and provide consistent feedback to help them manage and grow the team
Work with close counterparts in other departments as part of a multi-functional team, and build this culture in your team

What we offer

Health coverage
Paid volunteer days
Wellness resources

Fulltime

Customer Data Engineer

Optimove

Location:
United States , New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 05, 2026

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