6 Data Warehouse Developer Job Description Templates and Examples

Company Overview

[$COMPANY_OVERVIEW]

Role Overview

We are looking for a motivated Junior Data Warehouse Developer to join our dynamic data engineering team. In this role, you will assist in the design, development, and maintenance of data warehouse solutions, enabling data-driven decision-making across the organization. You will gain hands-on experience with ETL processes, data modeling, and analytics, contributing to your growth as a data professional.

Responsibilities

• Assist in the design and implementation of data warehouse architectures and data models.
• Support the development and maintenance of ETL processes to ensure accurate and timely data integration.
• Collaborate with data analysts and business stakeholders to understand data requirements and deliver insights.
• Participate in data quality assurance processes, identifying and resolving data discrepancies.
• Document technical specifications and workflows for data processing and data management.
• Stay current with industry trends and best practices in data warehousing and analytics.

Required and Preferred Qualifications

Required:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 1+ years of experience in data warehousing, database development, or related field.
• Familiarity with SQL and relational database management systems (e.g., MySQL, PostgreSQL).
• Basic understanding of ETL concepts and tools.
• Strong analytical and problem-solving skills.

Preferred:

• Experience with data modeling and data architecture principles.
• Knowledge of cloud-based data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
• Familiarity with programming languages such as Python or R for data manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI).

Technical Skills and Relevant Technologies

• Proficiency in SQL for data querying and manipulation.
• Understanding of data warehousing concepts, including star and snowflake schemas.
• Experience with ETL tools is a plus (e.g., Apache NiFi, Talend).

Soft Skills and Cultural Fit

• Strong attention to detail and commitment to data accuracy.
• Ability to work collaboratively in a team-oriented environment.
• Excellent verbal and written communication skills.
• Willingness to learn and adapt to new technologies and methodologies.

Benefits and Perks

We offer a competitive salary and a comprehensive benefits package, including:

• Health, dental, and vision insurance.
• Retirement savings plan with employer match.
• Generous paid time off and holidays.
• Professional development opportunities.

Equal Opportunity Statement

[$COMPANY_NAME] is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.

Location

This is a remote position within [$COMPANY_LOCATION].

Company Overview

[$COMPANY_OVERVIEW]

Role Overview

We are looking for a skilled Data Warehouse Developer to join our dynamic data engineering team. In this role, you will be responsible for designing, implementing, and maintaining our data warehouse solutions, ensuring high data quality and availability to support analytics and business intelligence initiatives. Your expertise will be crucial in transforming raw data into actionable insights, enabling informed decision-making across the organization.

Responsibilities

• Design, develop, and maintain robust ETL processes to ingest, transform, and load data from various sources into the data warehouse.
• Collaborate with business stakeholders to understand reporting and analytical needs, translating them into technical specifications.
• Optimize data storage and retrieval processes, ensuring high performance and scalability of the data warehouse.
• Monitor and troubleshoot performance issues, implementing best practices for data management and architecture.
• Develop and maintain documentation for data models, ETL processes, and data warehouse architecture.
• Work closely with data analysts and data scientists to provide support for their data needs and enhance data accessibility.

Required and Preferred Qualifications

Required:

• 3+ years of experience in data warehousing, ETL development, or related roles.
• Proficient in SQL and experience with relational databases such as PostgreSQL, MySQL, or Oracle.
• Solid understanding of data modeling concepts and practices, including dimensional and star schema design.
• Experience with ETL tools such as Apache NiFi, Talend, or Informatica.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

Preferred:

• Familiarity with cloud data warehousing solutions, such as Snowflake, Google BigQuery, or Amazon Redshift.
• Experience with scripting languages like Python or R for data manipulation and automation.
• Knowledge of data governance and data quality best practices.
• Experience with data visualization tools like Tableau, Power BI, or Looker.

Technical Skills and Relevant Technologies

• Advanced SQL skills for complex queries and data transformations.
• Experience with data modeling and architecture concepts.
• Familiarity with big data technologies, such as Hadoop or Spark, is a plus.
• Knowledge of version control systems, such as Git, for collaborative development.

Soft Skills and Cultural Fit

• Excellent analytical and problem-solving skills with a strong attention to detail.
• Ability to communicate technical concepts to non-technical stakeholders effectively.
• Strong collaboration skills and a team-oriented mindset.
• Adaptable and proactive, with a desire for continuous learning and improvement.

Benefits and Perks

Salary range: [$SALARY_RANGE]

Full-time employees enjoy a comprehensive benefits package, including:

• Health, dental, and vision insurance.
• Flexible work hours and the ability to work remotely within [$COMPANY_LOCATION].
• Generous paid time off policy, including holidays and sick leave.
• Retirement savings plan with company match.
• Professional development opportunities and training budgets.

Equal Opportunity Statement

[$COMPANY_NAME] is an equal opportunity employer committed to fostering an inclusive workplace. We celebrate diversity and are dedicated to creating an environment where all employees feel valued and empowered. We welcome applicants from all backgrounds and encourage individuals to apply regardless of race, color, religion, gender, sexual orientation, age, disability, or any other status protected by law.

Location

This is a remote position within [$COMPANY_LOCATION].

We encourage candidates who may not meet all the qualifications to apply. We value diverse experiences and perspectives and believe they contribute to our team's success.

Company Overview

[$COMPANY_OVERVIEW]

Role Overview

We are looking for a highly skilled Senior Data Warehouse Developer to join our data engineering team. In this strategic role, you will design, develop, and maintain robust data warehouse solutions that enable data-driven decision-making and optimize performance across the organization. Your expertise in data modeling, ETL processes, and database management will be critical in transforming complex data sets into actionable insights.

Responsibilities

• Architect and implement scalable data warehouse solutions using industry best practices and methodologies.
• Design and optimize ETL processes to ensure efficient data extraction, transformation, and loading from various sources.
• Collaborate with cross-functional teams to gather requirements and translate them into effective data models and structures.
• Conduct performance tuning and optimization of existing data warehouse systems to enhance query performance and reduce latency.
• Develop and maintain comprehensive documentation for data warehouse architecture, ETL processes, and data flows.
• Mentor junior data engineers and contribute to knowledge sharing within the team.

Required and Preferred Qualifications

Required:

• 5+ years of experience in data warehousing, data modeling, and ETL development.
• Proficiency in SQL and experience with data warehousing tools such as Snowflake, Amazon Redshift, or Google BigQuery.
• Strong understanding of database design principles and best practices.
• Experience with data integration tools (e.g., Talend, Informatica, Apache NiFi).
• Ability to perform data analysis and troubleshoot complex data-related issues.

Preferred:

• Familiarity with cloud data warehousing solutions and architectures.
• Experience with data visualization tools (e.g., Tableau, Power BI) to create meaningful insights from data.
• Knowledge of programming languages such as Python or Java for data manipulation and automation.
• Experience with data governance and data quality frameworks.

Technical Skills and Relevant Technologies

• Expertise in SQL and database management systems.
• Proficient in ETL processes and data integration techniques.
• Experience with cloud-based data warehousing platforms.
• Strong analytical skills and experience with data profiling and data quality assessments.

Soft Skills and Cultural Fit

• Excellent problem-solving skills and an analytical mindset.
• Strong communication skills to effectively collaborate with technical and non-technical stakeholders.
• A proactive approach to identifying and addressing data challenges.
• A team player with a commitment to continuous improvement and innovation.

Benefits and Perks

Annual salary range: [$SALARY_RANGE]

Additional benefits may include:

• Equity options
• Health, dental, and vision insurance
• 401(k) retirement plan with company match
• Flexible work schedule and remote work options
• Generous paid time off and holidays

Equal Opportunity Statement

[$COMPANY_NAME] is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law.

Location

This is a remote position within [$COMPANY_LOCATION].

Company Overview

[$COMPANY_OVERVIEW]

Role Overview

We are looking for a highly skilled Lead Data Warehouse Developer to join our data engineering team. In this pivotal role, you will architect and optimize data warehouse solutions that enable actionable insights and support data-driven decision-making across the organization. Your leadership will guide the development of scalable ETL processes and ensure the integrity, accuracy, and availability of our data assets.

Responsibilities

• Design, implement, and optimize data warehouse architecture and ETL processes to meet evolving business needs.
• Lead the development of data models and schemas, ensuring best practices in data governance and management.
• Collaborate with cross-functional teams to gather and define data requirements, providing technical guidance throughout the entire data lifecycle.
• Monitor data quality and performance, implementing automated testing frameworks and monitoring solutions.
• Mentor and develop junior data engineers, fostering a culture of innovation and continuous improvement.
• Stay updated with industry trends and technologies, making recommendations for evolving our data strategies and tools.

Required Qualifications

• 5+ years of experience in data warehousing, ETL development, and data modeling.
• Expertise in SQL and experience with data warehousing technologies such as Snowflake, Redshift, or BigQuery.
• Proficiency in scripting languages such as Python or Bash for automation.
• Strong understanding of data architecture principles and best practices.
• Experience with data visualization tools such as Tableau or Power BI.
• Excellent problem-solving skills and the ability to debug complex data issues.

Preferred Qualifications

• Experience with cloud services, particularly AWS or Azure.
• Familiarity with data lake architectures and big data technologies (e.g., Hadoop, Spark).
• Previous experience in a leadership role or managing a team of data engineers.
• Knowledge of data governance and compliance frameworks.

Technical Skills and Relevant Technologies

• Extensive experience with data warehousing solutions and ETL tools.
• Advanced SQL skills and proficiency in data modeling concepts.
• Familiarity with machine learning concepts and their application in data engineering.
• Understanding of data integration tools like Apache NiFi or Talend.

Soft Skills and Cultural Fit

• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Proactive and results-oriented mindset, capable of driving projects to completion.
• Collaborative team player who thrives in a fully remote environment.
• Passionate about data and committed to fostering a culture of learning and innovation.

Benefits and Perks

Salary: [$SALARY_RANGE]

Full-time offers include:

• Flexible work hours and a fully remote work environment.
• Comprehensive health, dental, and vision coverage.
• 401(k) with company match.
• Unlimited PTO and paid parental leave.
• Professional development opportunities and annual learning stipends.

Equal Opportunity Statement

[$COMPANY_NAME] is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. [$COMPANY_NAME] will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.

Location

This is a fully remote position.

We encourage applicants from diverse backgrounds to apply, even if you don't meet every requirement listed. Your unique experiences and perspectives could be exactly what we're looking for!

Company Overview

[$COMPANY_OVERVIEW]

Role Overview

We are looking for a highly skilled Data Warehouse Architect to join our team at [$COMPANY_NAME]. In this pivotal role, you will lead the design and implementation of scalable data warehouse solutions that support our business intelligence initiatives. You will collaborate with cross-functional teams to develop data strategies that enhance data accessibility and drive informed decision-making.

Responsibilities

• Design and implement robust data warehouse architectures that meet the organization's analytical needs and performance requirements
• Lead the integration of data from various sources into the data warehouse, ensuring data quality and consistency
• Collaborate with data engineers and analysts to optimize data models for reporting and analytics
• Establish best practices for data storage, retrieval, and management to enhance scalability and performance
• Evaluate and select appropriate ETL tools and methodologies to facilitate efficient data processing
• Provide technical leadership in data warehouse projects, guiding the team through architecture decisions and implementation challenges

Required and Preferred Qualifications

Required:

• 5+ years of experience in data warehousing architecture and design
• Proven expertise in SQL and data modeling techniques
• Experience with ETL processes and tools, such as Apache NiFi, Talend, or Informatica
• Strong understanding of cloud-based data warehousing solutions, such as Snowflake, Amazon Redshift, or Google BigQuery

Preferred:

• Experience leading data warehouse projects in a large-scale environment
• Familiarity with data governance principles and practices
• Knowledge of big data technologies such as Hadoop, Spark, or Kafka

Technical Skills and Relevant Technologies

• Deep understanding of data warehousing concepts, architectures, and best practices
• Proficiency in SQL and experience with NoSQL databases
• Experience with data visualization tools like Tableau, Power BI, or Looker

Soft Skills and Cultural Fit

• Exceptional analytical and problem-solving skills with attention to detail
• Strong communication skills, capable of articulating complex technical concepts to non-technical stakeholders
• Ability to work collaboratively in a team environment and contribute to a culture of continuous improvement
• Proactive and self-motivated with a passion for leveraging data to drive business outcomes

Benefits and Perks

We offer a competitive salary and benefits package, including:

• Health, dental, and vision insurance
• Retirement savings plans with company matching
• Generous paid time off and holiday schedule
• Professional development opportunities and training programs
• Collaborative and innovative work environment

Equal Opportunity Statement

[$COMPANY_NAME] is committed to fostering a diverse and inclusive workplace. We are proud to be an Equal Opportunity Employer and welcome applicants from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation, or any other basis protected by applicable law.

Location

This role requires successful candidates to be based in-person at our office located in [$COMPANY_LOCATION].

We encourage applicants who may not meet every single qualification to apply! Your passion and unique experiences are what we value.

Company Overview

[$COMPANY_OVERVIEW]

Role Overview

We are seeking a Data Engineering Manager to lead our data engineering team at [$COMPANY_NAME]. In this leadership role, you will drive the vision and implementation of our data strategy, ensuring the robust design and scalability of our data infrastructure. You will collaborate with cross-functional teams to enhance data-driven decision-making across the organization.

Responsibilities

• Lead the data engineering team by setting clear objectives and fostering a culture of innovation and excellence.
• Architect and oversee the development of scalable data pipelines and ETL processes, utilizing technologies such as Apache Spark, Kafka, and AWS.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality, actionable insights.
• Implement best practices for data governance, security, and compliance, ensuring the integrity and reliability of data assets.
• Mentor and guide team members in developing their technical skills and career paths while conducting regular performance evaluations.
• Drive strategic initiatives for data architecture, ensuring alignment with business goals and optimizing data workflows.

Required and Preferred Qualifications

Required:

• 5+ years of experience in data engineering or a related field, with at least 2 years in a leadership role.
• Strong proficiency in SQL and experience with NoSQL databases such as MongoDB or Cassandra.
• Proven track record of building and managing high-performance data engineering teams.
• Experience with data modeling, data warehousing, and data lakes.
• Familiarity with cloud platforms, particularly AWS, GCP, or Azure.

Preferred:

• Master's degree in Computer Science, Data Science, or a related field.
• Experience with machine learning frameworks and tools.
• Knowledge of data visualization tools such as Tableau or Power BI.

Technical Skills and Relevant Technologies

• Expertise in data architecture and engineering principles.
• Proficiency in programming languages such as Python or Java.
• Experience with container orchestration tools like Docker and Kubernetes.

Soft Skills and Cultural Fit

• Exceptional communication skills with the ability to convey complex technical concepts to a non-technical audience.
• Strong analytical and problem-solving abilities, with a results-oriented mindset.
• Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities.
• A collaborative leader who fosters a positive team culture and encourages open dialogue.

Benefits and Perks

Annual salary range: [$SALARY_RANGE]

Additional benefits may include:

• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with company match.
• Generous paid time off and flexible work arrangements.
• Professional development and training opportunities.
• Team-building activities and social events.

Equal Opportunity Statement

[$COMPANY_NAME] is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation, or any other basis protected by applicable law.

Location

This role requires successful candidates to be based in-person at [$COMPANY_LOCATION].

We encourage applicants from diverse backgrounds to apply, even if you don’t meet every requirement listed above.