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Modernize outdated systems and implement forward-looking data architectures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 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

Data Engineer

Are you a Data Engineer based in Austin, Texas, who is inspired by working with ...

Location

United States , Austin

Salary:

100000.00 - 135000.00 USD / Year

Beezwax Datatools

Expiration Date

Until further notice

Requirements

4-6 years of hands-on data modeling and data engineering experience
Strong expertise in dimensional modeling and data warehousing
Database design and development experience with relational or MPP databases such as Postgres/ Oracle/ Teradata/ Vertica
Experience in design and development of custom ETL pipelines using SQL and scripting languages (Python/ Shell/ Golang)
Proficiency in advanced SQL and performance tuning
Hands on experience with Big-Data platforms like Spark, Dremio, Hadoop, MapReduce, Hive etc
Experience with Java, Scala and Python
Experience with cloud computing platforms like AWS, Google Cloud
Experience working with APIs
Ability to learn and adapt to new tools and technologies

What we offer

Competitive compensation
Retirement plan with employer matching
Excellent healthcare package with vision and dental
Support for productivity and continued learning in the forms of hardware, software, learning materials, training, and conferences

Fulltime

Principal Data Engineer

Our Principal Data Engineers are responsible for leading and delivering strategi...

Location

United Kingdom , Bristol; London; Manchester; Swansea

Salary:

100000.00 - 115000.00 GBP / Year

Made Tech

Expiration Date

Until further notice

Requirements

Understanding of the issues and challenges that the public sector faces in delivering services that make the best use of data and digital capabilities, transforming legacy infrastructure, and taking an innovative and user-centric approach
Ability to innovate and take learnings from the commercial sector, other countries and advances in technology and apply them to UK Public Sector challenges to create tangible solutions for our clients
Experience building trusted advisor relationships with senior client stakeholders within the public sector.
Experience of building and leading high performing, consulting teams and creating the leveraged engagements to provide a cost-effective, profitable, successful client-facing delivery
Leadership of bids and solution shaping to produce compelling proposals that help Made Tech win new business and grow the industry
Experience of managing third-party partnerships and suppliers (in conjunction with Made Tech colleagues) to provide a consolidated and seamless delivery team to clients.
Experience in delivering complex and difficult engagements that span multiple capabilities for user-facing digital and data services in the public sector
Experience in identifying opportunities based on client needs and developing targeted solutions to progress the development of the opportunity
Experience of working with sales professionals and commercial responsibility for strategic organisational goals.
Experience working directly with customers and users within a technology consultancy

Job Responsibility

Collaborate with clients to understand their needs, provide solution advice in your role as a trusted advisor and shape solutions that leverage Made Tech's wider capabilities and credentials
Assess project performance as a part of the billable delivery team, Quality Assure (QA) the deliverables and outcomes, and ensure client satisfaction. Coach and mentor team members as well as providing direction to enable them to achieve their engagement outcomes and to develop their careers
Act as a Technical Authority of the Data & AI capability to provide oversight and ensure alignment with internal and industry best practices. Ensure engagement experience is captured and used to improve standards and contribute to Made Tech knowledge
Participate in business development activities, including bids and pre-sales within the account, industry and practice. Coach team members on their contributions and oversee the relevant technical aspects of the proposal submission
Undertake people management responsibilities, including performance reviews and professional development of your engagement and practice colleagues
Serve as a thought leader within Made Tech, our account engagements and the wider public sector and represent the company at industry events

What we offer

30 days of paid annual leave + bank holidays
Flexible Parental Leave
Remote Working
Paid counselling as well as financial and legal advice
Flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan
Optional social and wellbeing calendar of events

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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