Matillion ETL Engineer Job at Robert Half (Austin)

Data Engineer – Snowflake & ETL

We are seeking a Data Engineer in Hyderabad (WFO) with expertise in data enginee...

Location

India , Hyderabad

Salary:

Not provided

Right Angle Solutions

Expiration Date

Until further notice

Requirements

Minimum 5+ years of experience in data engineering, ETL, and Snowflake development
Proven expertise in Snowflake including SQL scripting, performance tuning, and data warehousing concepts
Hands-on experience with Matillion ETL for building and maintaining ETL jobs
Strong understanding of cloud platforms (AWS, Azure, or GCP) and cloud-based data architectures
Proficiency in SQL, Python, or other scripting languages for automation and data transformation
Experience with API integrations and data ingestion frameworks
Knowledge of data governance, security policies, and access control within Snowflake environments
Excellent communication skills with the ability to engage both business and technical stakeholders
Self-motivated professional capable of working independently and delivering projects on time
Qualification: BE/BS/MTech/MS or equivalent work experience

Fulltime

New

Data Engineer

Robert Half is seeking a Contract Data Engineer to support our client’s data and...

Location

United States , Nashville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proven experience as a Data Engineer or in a similar role
Strong proficiency in SQL and Python (or similar languages)
Experience with cloud platforms (AWS, Azure, GCP)
Hands-on experience with ETL / ELT tools (Airflow, dbt, Fivetran, Matillion, Glue, ADF, etc.)
Experience with data warehousing platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse
Familiarity with streaming and big data tools (Kafka, Spark, Databricks, Hadoop) is a plus
Strong understanding of data modeling, performance tuning, and pipeline optimization
Experience with version control systems (Git) and agile development practices
Excellent problem-solving, analytical, and communication skills

Job Responsibility

Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources
Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs
Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions
Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse
Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required
Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency
Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability
Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions
Maintain detailed documentation for pipelines, data flows, and system architecture

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan

Data Engineer

Robert Half is seeking a Contract Data Engineer to support our client's data and...

Location

United States , Nashville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proven experience as a Data Engineer or in a similar role
Strong proficiency in SQL and Python (or similar languages)
Experience with cloud platforms (AWS, Azure, GCP)
Hands-on experience with ETL / ELT tools (Airflow, dbt, Fivetran, Matillion, Glue, ADF, etc.)
Experience with data warehousing platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse
Familiarity with streaming and big data tools (Kafka, Spark, Databricks, Hadoop) is a plus
Strong understanding of data modeling, performance tuning, and pipeline optimization
Experience with version control systems (Git) and agile development practices
Excellent problem-solving, analytical, and communication skills

Job Responsibility

Data Pipeline Development: Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources
Data Architecture: Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs
Cloud Data Platforms: Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions
Data Warehousing: Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse
Big Data Processing: Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required
Performance Optimization: Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency
Data Quality & Reliability: Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability
Collaboration: Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions
Documentation: Maintain detailed documentation for pipelines, data flows, and system architecture

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Data Engineer

We are looking for a Data Engineer to join a long-term contract opportunity base...

Location

United States , Austin

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Senior-level experience in data engineering, data architecture, or a closely related discipline
Extensive hands-on background designing and building ETL and ELT solutions in modern cloud data environments
Demonstrated experience working with Snowflake and transformation tooling such as DBT
exposure to Matillion or similar platforms is highly valued
Ability to translate conceptual architecture into practical, maintainable implementation patterns with minimal supervision
Solid understanding of data integration tradeoffs across application-to-application flows, warehouse-centric design, and operational reporting needs
Proven ability to document technical standards, communicate design rationale, and support knowledge transfer to internal teams
Comfortable partnering with architects, BI leaders, integration specialists, and business stakeholders in a collaborative setting

Job Responsibility

Convert architectural guidance into scalable data pipeline designs and warehouse implementation patterns that support consistent delivery
Build and maintain workflows that ingest source data, prepare it for downstream use, and organize it across raw, staging, curated, and consumption layers
Assess integration approaches and recommend when data should move directly between applications versus through the warehouse for better governance and reuse
Create repeatable standards for orchestration, transformation, testing, monitoring, documentation, and support handoff
Develop and support cloud data warehouse solutions using Snowflake, Matillion, DBT, or comparable data engineering tools based on platform needs
Collaborate closely with integration and cross-functional team members to explain technical choices, guide implementation decisions, and strengthen team capability
Produce clear documentation covering data flows, lineage, dependencies, architecture decisions, and operational expectations
Deliver hands-on engineering leadership that enables durable solutions without creating long-term dependency on external support

What we offer

medical insurance
vision insurance
dental insurance
life insurance
disability insurance
401(k) plan

Data Engineer

You will be participating in exciting projects covering the end-to-end data life...

Location

Pakistan , Lahore

Salary:

Not provided

Dubizzle Labs

Expiration Date

Until further notice

Requirements

1-3 years experience in data processing, analysis, and problem-solving with large amounts of data
Good SQL skills across a variety of relational data warehousing technologies especially in cloud data warehousing (e.g. Amazon Redshift, Google BigQuery, Snowflake, Vertica, etc.)
1+ year of experience with one or more programming languages, especially Python
Ability to communicate insights and findings to a non-technical audience
Written and verbal proficiency in English
Entrepreneurial spirit and ability to think creatively
highly-driven and self-motivated
strong curiosity and strive for continuous learning
Top of class University technical degree such as computer science, engineering, math, physics

Job Responsibility

Design, implement and support data warehousing
Raw data integrations with primary and third-party systems
Data warehouse modeling for operational & application data layers
Development in Amazon Redshift cluster
SQL development as part of agile team workflow
ETL design and implementation in Matillion ETL
Real-time data pipelines and applications using serverless and managed AWS services such as Lambda, Kinesis, API Gateway, etc.
Design and implementation of data products enabling data-driven features or business solutions
Building data dashboards and advanced visualizations in Sisense for data cloud teams (formerly Periscope Data) with a focus on UX, simplicity, and usability
Working with other departments on data products – i.e. product & technology, marketing & growth, finance, core business, advertising, and others

Fulltime

Contract Data Engineer

Robert Half is seeking a Contract Data Engineer to support our client’s data and...

Location

United States , Nashville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proven experience as a Data Engineer or in a similar role
Strong proficiency in SQL and Python (or similar languages)
Experience with cloud platforms (AWS, Azure, GCP)
Hands-on experience with ETL / ELT tools (Airflow, dbt, Fivetran, Matillion, Glue, ADF, etc.)
Experience with data warehousing platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse
Familiarity with streaming and big data tools (Kafka, Spark, Databricks, Hadoop) is a plus
Strong understanding of data modeling, performance tuning, and pipeline optimization
Experience with version control systems (Git) and agile development practices
Excellent problem-solving, analytical, and communication skills

Job Responsibility

Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources
Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs
Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions
Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse
Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required
Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency
Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability
Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions
Maintain detailed documentation for pipelines, data flows, and system architecture

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Data Engineer

Robert Half is partnering with a financial services organization to hire a Data ...

Location

United States , Austin

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

3+ years of experience working in data engineering or a closely related technical role
Hands-on experience building data workflows with Matillion
Strong working knowledge of Snowflake for data storage, transformation, and performance tuning
Experience preparing and delivering data for Tableau reporting and dashboard development
Familiarity with AWS services used in cloud-based data environments
Understanding of data pipeline design, ETL/ELT concepts, and data quality best practices
Ability to communicate effectively with both technical teams and business stakeholders

Job Responsibility

Build and maintain data pipelines that move information from data lake environments into structured warehouse and reporting platforms
Develop, schedule, and optimize ETL and ELT workflows using Matillion to support dependable data delivery
Design and manage Snowflake data models that improve accessibility, performance, and scalability for business users
Partner with analytics and reporting stakeholders to prepare datasets that support Tableau dashboards and visual insights
Monitor data processing jobs, troubleshoot failures, and resolve quality issues to maintain trusted data assets
Work within AWS-based environments to support secure, efficient, and scalable data integration processes
Collaborate with cross-functional teams to understand data needs and translate them into practical engineering solutions

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

Staff Data Engineer

As a member of the Data & BI Engineering team you will primarily focus on advanc...

Location

United States , New York

Salary:

193000.00 - 242000.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

10+ years as a data engineer
10+ years of experience using RDBMS, SQL, Python languages
10+ years of experience with ETL/ELT tools like Matillion, Cloud Data Fusion, Informatica, Talend, Airflow, SSIS
8+ years of experience with BI Tools like Tableau, Power BI, Looker
3+ years of experience with cloud-native architecture and data solutions such as EMR, RDS, BigQuery and RedShift
Strong familiarity with GCP, AWS, SQL Server, BigQuery
Proficient in writing advanced SQL procedures, tuning SQL execution plans
Demonstrated knowledge of development processes and agile methodologies
Strong analytical and interpersonal skills, comfortable presenting complex ideas in simple terms
Comfortable handling large amounts of data

Job Responsibility

Design and build infrastructure for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources, including data identification, mapping, aggregation, conditioning, cleansing, and analyzing
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver valuable insights
Effectively communicate complex technical concepts to non-technical audiences
Desire to automate everything
Maintain documentation and operational knowledge base
Coach and technically train junior staff on design and development standards and best practices
Design and implement data security and governance protocols to ensure the accuracy and reliability of data

What we offer

short-term and long-term incentive programs
robust offering of benefit and wellness plans

Fulltime

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