Talend

Talend Data Jobs

7 jobs found

Today

Senior Data Engineer

Brooksource New York, NY 🇺🇸 Remote

New York, NY

Today

$65 - $85/hr Full time Senior Analytics API

Apply Now

Job Description

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and architectures that support advanced analytics and business intelligence, leveraging big data ecosystems, cloud platforms, and robust data modeling.

Responsibilities

Design, build, and optimize large-scale ETL pipelines using Informatica, Talend, Apache Spark, and Apache Hive.
Create and sustain data architectures on cloud environments including AWS, Azure Data Lake, and other public clouds.
Partner with cross-functional teams to capture requirements and translate them into scalable data solutions.
Develop and implement data models employing dimensional modeling techniques for data warehousing and analytics.
Oversee data integration from linked data, RESTful APIs, and additional external sources.
Ensure data quality, security, and compliance throughout the data lifecycle.
Support machine learning model deployment through efficient data pipeline integration.
Apply SQL, Python, Java, Bash, and shell scripting to automate processes and improve efficiency.
Contribute to Agile practices by participating in sprint planning, reviews, and continuous improvement efforts.
Document data workflows and architecture diagrams to promote transparency and knowledge sharing.

Requirements

Proven experience as a Data Engineer or similar role focusing on big data systems and cloud-based architectures.
Extensive knowledge of AWS services (S3, Redshift, Glue), Azure Data Lake, Hadoop components, and other public cloud offerings.
Strong proficiency with SQL databases including Microsoft SQL Server, Oracle, and cloud-based options.
Hands-on ETL/ELT development experience using Informatica or Talend.
Demonstrated expertise in data modeling techniques, including dimensional modeling for enterprise data warehouses.
Proficiency in programming languages such as Python and Java, with automation scripting in VBA, Bash, and shell scripting.
Familiarity with business intelligence tools like Looker or similar platforms for reporting and analysis.
Understanding of RESTful API integration for linked data access.
Knowledge of analytics approaches related to database design, query management, model training, and analytics methodologies.
Experience delivering value in fast-paced environments using Agile methodologies.

Technologies

Informatica
Talend
Apache Spark
Apache Hive
AWS
Azure Data Lake
Hadoop
S3
Redshift
Glue
Microsoft SQL Server
Oracle
SQL
Python
Java
VBA
Bash scripting
Shell Scripting
Looker
RESTful API

Pay

$65.00 - $85.00 per hour

Location

New York, NY (remote)

View full job page →

14d ago

Tableau Data Analyst - Salesforce Trailhead Exp.

Debt Consultants Group Miami, FL

Miami, FL

14d ago

$60k - $120k/yr Full time Analytical Skills Analytics Business Analytics

Apply Now

Job Description

Debt Consultants Group is seeking a meticulous Tableau Data Analyst to transform raw data into clear, actionable dashboards. This on-site role in Miami supports data-driven decision making across the organization by building visuals in Tableau, integrating Salesforce data, and collaborating with cross-functional teams to turn complex business information into insight.

Location

Miami, FL (onsite)

Compensation

USD 60,000 - 120,000 per year

Responsibilities

Design, update, and optimize interactive dashboards and reports in Tableau to monitor key business metrics, trends, and operational results.
Leverage Salesforce data to produce reports, dashboards, and analytics that illuminate sales activity, customer behavior, pipeline performance, and business outcomes for leadership and teams.
Apply Salesforce Trailhead knowledge or certifications to support reporting, CRM data structures, user adoption, and best practices within the Salesforce platform.
Partner with cross-functional teams to capture reporting needs and translate them into accurate dashboards, reports, and technical solutions.
Analyze data from multiple sources, including Salesforce, Microsoft SQL Server, Oracle, Looker, Power BI, and other business systems.
Perform data analysis using SQL, Python, R, Excel, and related tools to identify trends, patterns, gaps, and opportunities for improvement.
Design and support ETL processes to ensure correct data extraction, transformation, and integration from diverse platforms.
Maintain data accuracy, quality, and consistency across Tableau, Salesforce, and connected reporting systems.
Assist with database design, linked data connections, and data workflows to enhance reporting efficiency and data accessibility.
Apply Agile and SDLC principles to manage analytics projects, reporting updates, and dashboard development timelines.
Utilize tools such as Power BI, VBA, Bash, Visio, and business analysis methods to improve reporting, documentation, and workflows.
Present findings clearly to managers, executives, and stakeholders, tying insights to business goals.

Requirements

Proven experience using Tableau to create dashboards, reports, and data visualizations.
Experience working with Salesforce reports, dashboards, CRM data, objects, fields, leads, opportunities, accounts, or similar Salesforce functions.
Salesforce Trailhead experience is strongly preferred; Salesforce certifications or completed Trailhead modules are a plus.
Strong SQL skills with experience querying Microsoft SQL Server, Oracle, or similar platforms.
Familiarity with ETL tools such as Talend or other data integration platforms.
Experience using Python or R for data analysis, reporting automation, or advanced analytics is preferred.
Understanding of CRM analytics, sales reporting, pipeline tracking, and business performance metrics.
Experience with Power BI, Looker, Excel, VBA, Visio, Bash, or Oracle database management is a plus.
Knowledge of Agile project management, SDLC processes, and business analysis techniques.
Strong attention to detail, problem-solving ability, and analytical thinking.
Excellent communication skills with the ability to explain data insights clearly to both technical and non-technical stakeholders.
Highly organized, dependable, and able to manage multiple reporting projects simultaneously.

Technologies

Tableau
Salesforce
Microsoft SQL Server
Oracle
Looker
Power BI
Excel
Python
R
VBA
Bash
Visio
Talend
Salesforce Trailhead

Preferred Skills

Salesforce Trailhead badges, Salesforce Administrator knowledge, or Salesforce reporting experience.
Experience building dashboards for sales, recruiting, operations, marketing, or executive leadership teams.
Ability to clean, validate, and structure CRM data for reporting accuracy.
Comfort with large datasets and turning raw data into meaningful business stories.

Application Questions

Must be local and have Salesforce Trailhead experience (required)

View full job page →

1mo ago

Data Analytics Engineer

MPR Management LLC Flint, MI

Flint, MI

1mo ago Closed

$65k - $95k/yr Full time Ai Ml Analytical Skills Analytics

This position is no longer accepting applications (closed Jul 13, 2026).

Job Description

Data analytics engineer role at MPR Management LLC focused on applying big data technologies, cloud platforms, and advanced analytics to transform complex data into actionable insights.

Responsibilities

Design and deploy advanced multivariate regression and nonlinear time-series models, including ARIMA or Bayesian forecasting, to convert historical retail data into regional sales forecasts.
Apply unsupervised learning methods such as clustering and dimensionality reduction to transactional data to reveal hidden operational inefficiencies and distinguish regional performance patterns.
Perform feature engineering and feature selection to boost predictive model accuracy and scalability across enterprise datasets.
Benchmark and validate statistical models using metrics like RMSE, AUC, precision-recall, loss functions, and explained variance to ensure robust predictions.
Develop objective functions and constrained optimization approaches to automate dynamic pricing and inventory management, driving profitability through data-informed decisions.
Build data integration pipelines that connect diverse retail systems, employing ETL, ELT, and streaming approaches as appropriate to enable flexible, scalable, real-time data movement.
Create advanced SQL analytical expressions and recursive window functions to extract real-time KPIs from enterprise data stores.
Architect fast, efficient backend data structures to support near real-time visual dashboards for stakeholders.
Implement automated data verification workflows, including checksum-based quality assurance, to maintain accuracy of ingested data in dynamic environments.
Produce detailed technical specifications, including ERDs and data lineage maps, to align SDLC across the organization’s retail operations.

Requirements

Proven experience with cloud platforms for data storage and processing, specifically AWS or Azure.
Strong programming skills in Java, Python, Bash (Unix shell), and VBA for automation and custom solutions.
Hands-on experience with big data frameworks such as Hadoop, Spark, and Hive.
Expertise in database design principles for OLTP (Oracle or SQL Server) and OLAP (data warehouses) environments.
Familiarity with ETL tools like Talend or Informatica to support efficient data integration workflows.
Knowledge of Linked Data principles for connecting disparate datasets across platforms.
Demonstrated ability to analyze complex datasets to identify trends and actionable insights.
Experience working in Agile teams to deliver iterative solutions quickly while maintaining high quality.

Technologies

AWS
Azure
Java
Python
Bash (Unix shell)
VBA
Hadoop
Spark
Hive
Oracle
SQL Server
Talend
Informatica
Azure Data Lake
SQL

Benefits

Dental insurance
Flexible schedule
Health insurance
Paid time off
Parental leave
Retirement plan
Tuition reimbursement

Overview

Join our innovative team as a Data Analytics Engineer and become a key driver of data driven decision making. In this role, you will leverage big data technologies, cloud platforms, and advanced analytics to transform complex data into actionable insights. Your work will support operational optimization, improved customer experiences, and predictive modeling that advances the business in a fast paced environment.

Pay

USD 65,000 - 95,000 per year

Work Location

Hybrid remote in Flint, MI 48507

View full job page →

1mo ago

Data Engineer (Senior / Mid-Level) – ETL / Cloud / AWS – Top Secret Clearance

VISUAL SOFT, INC Huntsville, AL

Huntsville, AL

1mo ago Closed

Full time Senior AWS Aws Glue

This position is no longer accepting applications (closed Jul 13, 2026).

Job Description

Visual Soft, Inc is seeking a Data Engineer to join onsite in Huntsville, Alabama. The role spans ETL development, cloud-based data orchestration, and data migration, with mid-level to senior responsibilities and an active Top Secret clearance required. The position emphasizes hands-on engineering, collaboration within Agile teams, and the maintenance of robust data pipelines across both on-premises environments and AWS.

Responsibilities

Design, build, and sustain ETL workflows to extract, transform, and load large-scale structured and unstructured data.
Develop data migration solutions between legacy and modern systems using SQL, Java, and cloud-native tools.
Implement data integration frameworks leveraging AWS services such as Glue, Lambda, S3, RDS, Redshift, and Kinesis.
Create automation scripts with Python, Shell, or Bash for deployment, data validation, and ongoing maintenance tasks.
Maintain and enhance data pipelines for real-time and batch processing.
Support data quality, metadata management, and governance activities.
Contribute to Agile/Scrum sprints, including design input, code reviews, testing, and documentation.
Troubleshoot and resolve data-related issues across on-premises and AWS environments.

Requirements

5+ years of experience for a mid-level role or 8+ years for a senior role in data engineering or database development.
Hands-on experience with ETL tools such as Informatica, Talend, Pentaho, AWS Glue, or custom Java ETL frameworks.
Proficiency in SQL and experience with at least one major RDBMS (Oracle or PostgreSQL).
Experience with data migration projects and data quality validation.
Proficiency in Java or Python for data processing and automation tasks.
Experience with cloud technologies, preferably AWS (RDS, S3, Lambda, Redshift, Glue).
Working knowledge of Linux/Unix environments and shell scripting.
Experience operating in an Agile/Scrum development environment.
Strong problem-solving, analytical, and communication skills.

Technologies

AWS Glue
AWS Lambda
AWS S3
AWS RDS
AWS Redshift
AWS Kinesis
Java
Python
SQL
Oracle
PostgreSQL
MongoDB
Informatica
Talend
Pentaho
Linux
Unix
Shell scripting

Benefits

3 weeks of paid time off (PTO) including sick leave
2 floating holidays
8 public holidays
50% employer-paid health and dental insurance for all full-time employees; dependents at additional cost
Health and dental coverage becomes effective after 30 days or the first of the month after 30 working days; 50% coverage for the employee
STD, LTD and life insurance coverage at no cost to all full-time employees
401k with a company match of 4% after 90 days; immediate vesting
Profit sharing for all W-2 employees; no employee contributions required

Job Details

Position: Data Engineer (Senior / Mid-Level) – ETL / Cloud / AWS – Top Secret Clearance
Location: Huntsville, Alabama (Onsite)
Clearance: Active Top Secret Clearance (U.S. Citizenship Required)
Type: Full-Time / Permanent / 1099 Consultant
Education: Bachelor's Degree

View full job page →

1mo ago

Data Engineer

[email protected] Burlington, VT

Burlington, VT

1mo ago Closed

$115k - $138k/yr Full time Analytics Big Data Bigdata

This position is no longer accepting applications (closed Jul 9, 2026).

Job Description

Data Engineer responsible for designing, developing, and maintaining scalable data pipelines and architectures that enable data driven decision making, with the ability to obtain a security clearance.

Responsibilities

Design, implement, and optimize end-to-end ETL pipelines to move data between systems, leveraging Informatica, Talend, and shell scripting for automation.
Build and maintain scalable data warehouses and data lakes on platforms such as Azure Data Lake and Hadoop ecosystems to support large-scale analytics.
Develop and tune complex SQL databases (Microsoft SQL Server, Oracle, and related systems) to ensure performance, security, and reliability.
Collaborate with cross functional teams to capture data requirements and translate them into technical solutions using Python, Java, Bash, and RESTful APIs.
Utilize big data frameworks like Hive, Spark, and Hadoop to process large datasets while preserving data quality and consistency.
Integrate diverse data sources to enrich datasets for analysis; use Looker for visualization and reporting.
Support model training and analysis by delivering clean, structured datasets and contribute to data model improvements through iterative testing.
Participate in Agile development cycles and document processes for ongoing maintenance.

Requirements

Ability to obtain a security clearance.
Experience designing and implementing large-scale data pipelines on AWS services such as AWS Glue and S3; familiarity with Azure Data Lake is a plus.
Strong programming skills in Python, Java, VBA, Bash (Unix shell), or Shell scripting for automation.
Extensive knowledge of SQL databases including Microsoft SQL Server and Oracle; solid data warehouse concepts.
Hands-on experience with big data frameworks in the Hadoop ecosystem (HDFS, Hive) and Spark.
Proficiency with ETL tools such as Talend or Informatica; familiarity with RESTful API integration for data exchange.
Experience using analytics platforms like Looker to create dashboards and reports that drive business insights.
Ability to design efficient database schemas and optimize query performance; strong data analysis skills.
Knowledge of model training techniques for predictive analytics; experience in Agile environments preferred.

Technologies

Informatica
Talend
Shell Scripting
Azure Data Lake
Hadoop
HDFS
Hive
Spark
Microsoft SQL Server
Oracle
Python
Java
VBA
Bash (Unix shell)
RESTful APIs
Looker
AWS Glue
S3
AWS

Benefits

401(k)
Dental insurance
Health insurance
Paid time off
Tuition reimbursement
Vision insurance

Work location

Onsite in Burlington, Vermont

Compensation

USD 114,880.73 to 138,350.98 per year

View full job page →

2mo ago

Data Engineer - Enterprise, Architecture & Data (EAD) (contract)

Hilton McLean, VA

McLean, VA

2mo ago Closed

Contract Analytics AWS Aws Glue

This position is no longer accepting applications (closed Jun 16, 2026).

Job Description

Hilton is seeking a Data Engineer in the Enterprise, Architecture & Data (EAD) group on a contract basis to advance data architecture and enterprise data integration across Hilton’s data ecosystem. The position, based in McLean, VA with a hybrid work arrangement, requires at least three years of relevant experience and a collaborative, cross-functional approach to translating complex requirements into practical data solutions.

Responsibilities

Interpret project requirements to support new and existing systems within the data ecosystem.
Plan and organize work streams, identify data needs, and understand design and solution architectures.
Evaluate enterprise data characteristics and the current technical landscape to gauge implications for new architectures and analytical reporting.
Engage with data and business teams in Martech to align on information assets and gain hands-on experience.
Track projects through the implementation phase and brief senior leadership on status, risks, and issues.
Collaborate with internal partners across Business, Product, Technology, and Analytics functions.
Provide support to internal data teams by clarifying work and proactively addressing risks and issues.
Maintain open communication and alignment across the broader data organization.
Capture detailed requirements for new business initiatives and craft solutions to deliver on these initiatives.

Requirements

Hands-on experience with data quality, ETL, and ongoing data maintenance.
Proficiency in Talend, AWS Glue, and AWS Lambda.
Expertise with CDW and Redshift, Snowflake, and related platforms.
Strong background in cloud and hybrid data environments and platforms.
Familiarity with Amazon Web Services cloud environment.
Ability to function effectively in customer-facing settings.
Solid organizational and project-management capabilities.
Excellent communication and collaboration skills.

Technologies

Talend
AWS Glue
AWS Lambda
CDW
RedShift
Snowflake
AWS
Amazon Web Services

View full job page →

2mo ago

Senior/Mid Level Data Engineer - Active TS is a MUST

VISUAL SOFT, INC Huntsville, AL

Huntsville, AL

2mo ago Closed

Full time Senior AWS Aws Glue

This position is no longer accepting applications (closed Jun 16, 2026).

Job Description

Senior or Mid-Level Data Engineer with an active Top Secret clearance, based onsite in Huntsville, Alabama, focusing on ETL development, data migration initiatives, and AWS-based data pipelines.

Responsibilities

Design and sustain ETL pipelines to process large-scale structured and unstructured data, covering extraction, transformation, and loading.
Develop data migration solutions that bridge legacy systems to modern platforms using SQL, Java, and cloud-native tools.
Establish data integration frameworks that leverage AWS services such as Glue, Lambda, S3, RDS, Redshift, and Kinesis.
Create automation scripts in Python, Shell, or Bash to support deployment, data validation, and ongoing maintenance tasks.
Maintain and enhance data pipelines to support real-time streaming and batch processing.
Contribute to data quality initiatives, metadata management, and governance activities.
Engage in Agile/Scrum sprints, participating in design discussions, code reviews, testing, and documentation efforts.
Troubleshoot and resolve data-related issues across on-premises and AWS environments.

Requirements

Active Top Secret clearance; U.S. citizenship required
Location: Huntsville, Alabama, 100% onsite
Employment type: Full-Time Permanent or 1099 Consultant
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
5+ years of hands-on data engineering experience for a Mid-Level role, or 8+ years for a Senior role
Strong hands-on experience with ETL tools such as Informatica, Talend, Pentaho, AWS Glue, or custom Java ETL frameworks
Proficiency in SQL and at least one major RDBMS (Oracle or PostgreSQL)
Experience with data migration projects and data quality validation
Proficient in Java or Python for data processing and automation
Experience with cloud technologies, preferably AWS (RDS, S3, Lambda, Redshift, Glue)
Working knowledge of Linux/Unix environments and shell scripting
Experience in an Agile/Scrum development environment
Excellent problem-solving, analytical, and communication skills

Technologies

Informatica
Talend
Pentaho
AWS Glue
AWS Lambda
AWS S3
AWS RDS
AWS Redshift
AWS Kinesis
Java
Python
SQL
Oracle
PostgreSQL
MongoDB
Linux
Unix
Shell scripting
Agile/Scrum

Benefits

PTO of 3 weeks, including sick leave, with unused PTO paid out at anniversary
2 floating holidays
8 public holidays
50% health and dental insurance coverage for full-time employees; dependents available at extra cost
Health and dental coverage effective after 30 days; employee must complete health and dental paperwork within first 30 days
STD, LTD, and life insurance provided at no cost to employees
401(k) with 4% company match and immediate vesting after 90 days
Profit sharing for all W-2 employees, with no employee contributions required

View full job page →

Talend Data Jobs

Senior Data Engineer

Tableau Data Analyst - Salesforce Trailhead Exp.

Data Analytics Engineer

Data Engineer (Senior / Mid-Level) – ETL / Cloud / AWS – Top Secret Clearance

Data Engineer

Data Engineer - Enterprise, Architecture & Data (EAD) (contract)

Senior/Mid Level Data Engineer - Active TS is a MUST

Get Talend Data Jobs alerts