Senior Integration & Data Engineer Job at Zoolatech

Senior Data Engineer

Binariks is looking for a highly motivated and skilled Senior Data Engineer to j...

Location

Salary:

Not provided

Binariks

Expiration Date

Until further notice

Requirements

5+ years as a Data Engineer with experience in working with AWS
Experience with Terraform
Experience with Datalakes, Medallion Architecture
Experience with SQL
Professional experience with Python
Experience with Athena, Glue, Glue Streaming, Kinesis, dbt
Able to work as a team to deliver against requirements in a collaborative and agile way
Excellent communication skills in English

Job Responsibility

Managing and improving our cloud data lakehouse for analytic and aggregate data
Building data pipelines
Developing foundations for handling larger volumes of streaming data
Manage our cloud data infrastructure using IaC tooling
Assist teams on integrating with the data lake and consuming from it
Developing customer-facing data products, such as APIs and data timelines
Help develop our machine learning data capabilities

What we offer

18 days of paid annual leave
10 sick leaves
Additional days off for special occasions
Medical Care
Health check-up
English Class
Play Room
IT Cluster membership
Business Trip
Tech Talks

Senior Data Engineer

Beacon Technologies is seeking a Senior Data Engineer for our client partner. Th...

Location

Salary:

Not provided

Beacon Technologies

Expiration Date

Until further notice

Requirements

Data engineering (SQL)
Scripting (Python, PowerShell, Bash)
Custom development (API integration, file-based integration)
Strategic thinker
Mentor juniors
Governance aware

Job Responsibility

Design integrations
Optimize rule structures
Lead analytics initiatives
Manage workforce identity (system access) for all corporate and field employees

What we offer

Career advancement opportunities
Extensive training
Excellent benefits including paying for health and dental premiums for salaried employees

Fulltime

Senior Data Engineer

As a Senior Data Engineer on our Core Engineering Data Team, you will design and...

Location

United States , Boston

Salary:

111800.00 - 164000.00 USD / Year

SimpliSafe

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience
4+ years of experience in software engineering, data engineering, or a related field, with at least 2 years focused on data operations or data infrastructure
Strong knowledge of AWS or other public cloud platforms (e.g., Azure, GCP)
Strong SQL knowledge and experience optimizing for data warehousing technologies like AWS Athena
Strong knowledge of Python for use in data transformation
Hands-on experience with ETL/ELT, schema design, and datalake technologies
Hands-on experience with data orchestration tools like Dagster, Airflow, or Prefect
Experience with CI/CD pipelines, Docker, Kubernetes, and infrastructure-as-code tools (e.g., Terraform, CloudFormation)
Familiarity with various data and table formats (JSON, Avro, Parquet, Iceberg)
Love of data and a passion for building reliable data products

Job Responsibility

Collaborate with analysts, engineers, product managers, and stakeholders to design and implement solutions for Product and Engineering data workflows
Identify areas for improvement and contribute to centralized data platform
Manage data pipeline, orchestration, storage, and analytics infrastructure for Product and Engineering
Monitor performance and reliability of data pipelines, implementing solutions for scalability and efficiency
Optimize table structures to support query and usage patterns
Partner with producers of data across SimpliSafe to develop an understanding of data creation and meaning
Support data discovery, catalog, and analytics tooling
Implement and maintain data security measures and ensure compliance with data governance policies
Design and implement testing strategies and data quality validation to ensure the accuracy, reliability, and integrity of data pipelines
Contribute to the formation of our new team, assisting with the development of team norms, practices, and charter

What we offer

A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive
A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families
Free SimpliSafe system and professional monitoring for your home
Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change
Participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits

Fulltime

Senior Data Engineer

We are looking for a Data Engineer to join our team and support with designing, ...

Location

Salary:

Not provided

Foundever

Expiration Date

Until further notice

Requirements

Minimum of 7 years plus experience in data engineering
Track record of deploying and maintaining complex data systems at an enterprise level within regulated environments
Expertise in implementing robust data security measures, access controls, and monitoring systems
Proficiency in data modeling and database management
Strong programming skills in Python and SQL
Knowledge of big data technologies like Hadoop, Spark, and NoSQL databases
Deep experience with ETL processes and data pipeline development
Strong understanding of data warehousing concepts and best practices
Experience with cloud platforms such as AWS and Azure
Excellent problem-solving skills and attention to detail

Job Responsibility

Design and optimize complex data storage solutions, including data warehouses and data lakes
Develop, automate, and maintain data pipelines for efficient and scalable ETL processes
Ensure data quality and integrity through data validation, cleansing, and error handling
Collaborate with data analysts, machine learning engineers, and software engineers to deliver relevant datasets or data APIs for downstream applications
Implement data security measures and access controls to protect sensitive information
Monitor data infrastructure for performance and reliability, addressing issues promptly
Stay abreast of industry trends and emerging technologies in data engineering
Document data pipelines, processes, and best practices for knowledge sharing
Lead data governance and compliance efforts to meet regulatory requirements
Collaborate with cross-functional teams to drive data-driven decision-making within the organization

What we offer

Impactful work
Professional growth
Competitive compensation
Collaborative environment
Attractive salary and benefits package
Continuous learning and development opportunities
A supportive team culture with opportunities for occasional travel for training and industry events

Senior Data Engineer

The Data Engineer will build scalable pipelines and data models, implement ETL w...

Location

United States , Fort Bragg

Salary:

Not provided

Barbaricum

Expiration Date

Until further notice

Requirements

Active DoD TS/SCI clearance (required or pending verification)
Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience) OR CSSLP / CISSP-ISSAP
Strong programming skills in Python, Java, or Scala
Strong SQL skills
familiarity with analytics languages/tools such as R
Experience with data processing frameworks (e.g., Apache Spark, Hadoop) and orchestration tools (e.g., Airflow)
Familiarity with cloud-based data services (e.g., AWS Redshift, Google BigQuery, Azure Data Factory)
Experience with data modeling, database design, and data architecture concepts
Strong analytical and problem-solving skills with attention to detail
Strong written and verbal communication skills

Job Responsibility

Build and maintain scalable, reliable data pipelines to collect, process, and store data from multiple sources
Design and implement ETL processes to support analytics, reporting, and operational needs
Develop and maintain data models, schemas, and standards to support enterprise data usage
Collaborate with data scientists, analysts, and stakeholders to understand requirements and deliver solutions
Analyze large datasets to identify trends, patterns, and actionable insights
Present findings and recommendations through dashboards, reports, and visualizations
Optimize database and pipeline performance for scalability and reliability across large datasets
Monitor and troubleshoot pipeline issues to minimize downtime and improve system resilience
Implement data quality checks, validation routines, and integrity controls
Implement security measures to protect data and systems from unauthorized access

Senior Data Engineer II

We are looking for a skilled Data Engineer to join our growing team. You will pl...

Location

India , Hyderabad

Salary:

Not provided

Alter Domus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3+ years of experience as a Data Engineer or in a similar role working with cloud-based data platforms
Technical Skills: Cloud & Orchestration: Airflow (self-managed or managed services like Amazon MWAA) for workflow orchestration, DAG development, and scheduling
Familiarity with best practices for Airflow DAG structure, dependency management, and error handling
AWS Expertise: Hands-on experience with AWS Lake Formation, S3, Athena, and related services (e.g., Lambda, Glue, IAM)
Snowflake: Proficient in setting up data warehouses, configuring security, and optimizing queries on Snowflake
Data Ingestion & Transformation: Experience with Airbyte or similar tools for data ingestion
dbt or other SQL-based transformation frameworks for modular data processing
Programming: Proficiency in Python and/or Java/Scala for building data pipelines and custom integrations
Query Languages: Advanced knowledge of SQL for data manipulation and analysis

Job Responsibility

Data Pipeline Orchestration: Design, build, and maintain end-to-end data pipelines using Airflow (including managed services like Amazon MWAA) to orchestrate, schedule, and monitor batch/streaming workflows
Implement DAGs (Directed Acyclic Graphs) with retry logic, error handling, and alerting to ensure data quality and pipeline reliability
Data Ingestion & Transformation: Integrate data from various sources using Airbyte for ingestion and dbt for transformations in a scalable and modular fashion
Collaborate with Data Analysts and Data Scientists to implement transformations and business logic, ensuring data is analytics-ready
Data Modeling & Warehousing: Design and implement efficient data models for both structured and semi-structured data in AWS S3 (data lake) and Snowflake (data warehouse)
Ensure data schemas and transformations support advanced analytics, BI reporting, and machine learning use cases
Data Governance & Security: Utilize AWS Lake Formation APIs and best practices to maintain data security, access controls, and compliance
Work closely with IT security to establish robust encryption standards, audit trails, and identity/role-based access
Performance Optimization: Optimize AWS Athena queries and configurations (e.g., data partitioning) for performance and cost efficiency
Monitor and tune Airflow DAGs, Snowflake queries, and data transformations to improve throughput and reliability

What we offer

Support for professional accreditations
Flexible arrangements, generous holidays, plus an additional day off for your birthday
Continuous mentoring along your career progression
Active sports, events and social committees across our offices
24/7 support available from our Employee Assistance Program
The opportunity to invest in our growth and success through our Employee Share Plan
Plus additional local benefits depending on your location

Senior Data Engineer

For this role, we are seeking a Senior Data Engineer for our Client's ETL Suppor...

Location

India

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

In-depth knowledge of AWS Glue, AWS Lambda, and AWS Step Functions
A deep understanding of ETL processes and data warehouse design
Proven ability to troubleshoot data pipelines and perform root cause analysis (RCA)
3-5 years of relevant experience
Hands-on experience with Glue, Lambda, and Step Function development
Must be able to work a day shift that includes coverage for weekends and holidays on a rotational basis

Job Responsibility

Monitor approximately 2,300 scheduled jobs (daily, weekly, monthly) to ensure timely and successful execution
Execute on-demand jobs as required by the business
Troubleshoot job failures, perform detailed root cause analysis (RCA), and provide clear documentation for all findings
Address and resolve bugs and data-related issues reported by the business team
Verify source file placement in designated directories to maintain data integrity
Reload Change Data Capture (CDC) tables when structural changes occur in source systems
Help manage synchronization between external databases (including Teradata write-backs) and AWS Glue tables
Assist in developing new solutions, enhancements, and bug fixes using AWS Glue, Lambda, and Step Functions
Answer questions from the business and support User Acceptance Testing (UAT) inquiries
Make timely decisions to resolve issues, execute tasks efficiently, and escalate complex problems to senior or lead engineers as needed, all while maintaining agreed-upon SLAs

Fulltime

Senior Data Engineer

As a Data Software Engineer, you will leverage your skills in data science, mach...

Location

United States , Arlington; Woburn

Salary:

134000.00 - 184000.00 USD / Year

STR

Expiration Date

Until further notice

Requirements

Ability to obtain a Top Secret (TS) security clearance, for which U.S citizenship is needed by the U.S government
5+ years of experience in one or more high level programming languages, like Python
Experience working with large datasets for machine learning applications
Experience in navigating and contributing to complex, large code bases
Experience with containerization practices and CI/CD workflows
BS, MS, or PhD in a related field or equivalent experience

Job Responsibility

Explore a variety of data sources to build and integrate machine learning models into software
Develop machine learning and deep learning algorithms for large-scale multi-modal problems
Work with large data sets and develop software solutions for scalable analysis
Collaborate to create and maintain software for data pipelines, algorithms, storage, and access
Monitor software deployments, create logging frameworks, and design APIs
Build analytic tools that utilize data pipelines to provide actionable insights into customer requests
Develop and execute plans to improve software robustness and ensure system performance

Fulltime

Senior Integration & Data Engineer

Zoolatech

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 04, 2026

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