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LTK USA
Dallas, TX, United States
Position Title: Data Engineer About the role: LTK is the largest influencer-driven platform used by millions of shoppers every month to find new styles and products curated by influencers all over the world. As a Data Engineer , you will be part of a growth-hungry, acceleration-minded team of problem-solvers and product-builders. This is an opp
Job Source: LTK USAAustin Industries
Dallas, TX, United States
Austin Industries is one of the nation’s largest, most diversified U.S.-based construction companies. With more than 7,000 employee-owners, Austin Industries provides nearly every type of civil, commercial and industrial construction services through the expertise of our operating companies: Austin Bridge & Road, Austin Commercial and Austin Indust
Job Source: Austin IndustriesZendr
Dallas, TX, United States
One of our top clients, a multinational consulting firm, is looking to add experienced Data Engineers to work within their Financial Services Division. If your skills, experience, and qualifications match those in this job overview, do not delay your application. Requirements:3-5+ years of experience in Data EngineeringExperience with Big Data te
Job Source: ZendrSalesforce
Dallas, TX, United States
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Were Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companie
Job Source: SalesforceeTeam
Irving, TX, United States
Scala ,Python, PySpark, Kudo ,Kafka and Data Engineering background "Experience in data engineer , Data Analytics; Big Data Technologies Expert in Python. (Developer level Expertise expected), Programming experience in Python, R programming , Algorithms Spark, Kafka Good experience in the Data Models for Client; Reporting, Dash boarding; Client to
Job Source: eTeamHigh 5
Irving, TX, United States
Data Engineer - day one onsite location is Irving, TX 75039. Candidate must have strong in SQL Should have Python scripting work expr Should have Pyspark scripting work expr Should have ETL background - Not specific to Informatica, Any ETL skills set will work Cloud - Experience (GCP/Azure if any) Domain - healthcare would be added advantage Must
Job Source: High 5Salesforce
Dallas, TX, United States
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help com
Job Source: SalesforceOneSource Regulatory
Dallas, TX, United States
Company Introduction OneSource Regulatory Technology hosts a number of innovative solutions to enhance job performance in the Pharmaceutical space. OSR Technology is looking for an experienced and dedicated data engineer to join our product solutions team! Job Description OneSource Regulatory is trying to identify a full-time contractor with at
Job Source: OneSource RegulatoryDallas, TX, United States
Data Engineer - Must be a US citizen or Green Card Holde r
Contract:
6 months initial and full-time after 6 months
Rate:
$70-$90 per hour
Location:
Dallas 2 days on-site per week
We are seeking a skilled Data Engineer with extensive experience in DBT, Snowflake, and Azure, along with proficiency in Python and SQL. The ideal candidate will have a strong understanding of data modeling principles and a proven track record of developing robust data pipelines and architectures.
Responsibilities:
Data Pipeline Development:
Design, build, and maintain efficient and scalable data pipelines using DBT, Snowflake, and Azure services. Develop ETL processes to extract, transform, and load data from various sources into the data warehouse.
DBT Implementation:
Utilize DBT (Data Build Tool) for modeling, testing, and deploying data transformations. Design and implement DBT models to streamline data transformation workflows and ensure data accuracy and consistency.
Snowflake Management:
Manage Snowflake data warehouse environments, including provisioning, configuration, optimization, and monitoring. Implement best practices for data warehouse performance, security, and scalability.
Azure Integration:
Work with Azure services such as Azure Data Factory, Azure Databricks, and Azure SQL Database for data integration, processing, and storage. Collaborate with Azure cloud architects and administrators to ensure seamless integration with existing Azure infrastructure.
Data Modeling:
Collaborate with data architects and analysts to design and implement data models that meet business requirements. Develop a deep understanding of the underlying data and business processes to create effective data models that support analytics and reporting needs.
Performance Optimization:
Identify and address performance bottlenecks in data pipelines and SQL queries. Optimize data processing and query performance to ensure timely and efficient data delivery to end-users.
Documentation and Collaboration:
Document data pipelines, schemas, and processes to ensure knowledge sharing and maintainability. Collaborate with cross-functional teams including data scientists, analysts, and software engineers to support data-driven initiatives and projects.
Continuous Improvement:
Stay updated on emerging technologies, tools, and best practices in data engineering. Proactively identify opportunities for process improvement and optimization to enhance data reliability, quality, and accessibility.
Requirements:
Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.
Proven experience as a Data Engineer with a focus on DBT, Snowflake, and Azure.
Strong proficiency in Python and SQL for data manipulation and scripting.
Solid understanding of data modeling concepts and techniques.
Experience building and optimizing data pipelines for large-scale data processing.
Familiarity with cloud computing platforms and services, particularly Azure.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
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Data Engineer jobs in Dallas, TX, United States
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