Data Engineer Salary at Lluna Inc BETA

The Tyndale Company, an 8x Top Workplace winner in PA/4x Top Workplace winner in TX and certified woman-owned business, is seeking a skilled Data Engineer to join our growing AI organization. This role will play a critical part in our mission to harness data for advanced AI and Machine Learning applications. You will collaborate with data scientists, and business stakeholders to build and maintain robust data pipelines, ensuring our data architecture supports the full lifecycle of AI initiatives. This is an exciting opportunity to shape the data foundation of our AI and Machine Learning efforts, driving impactful insights and innovations. HYBRID/REMOTE: Tyndale supports a strong work-life balance. This opportunity requires onsite work a minimum of 1 day per week, and 4 days per week remotely. To be considered, candidates must reside within a commutable distance from our corporate office location in Pipersville, PA (Bucks County). Please note: we are not partnering with outside agencies

Responsibilities Data Engineers will be data mining, writing code, and creating tables/environments in S3 Qualifications Engineer required - SQL, Python, Pyspark, S3, AWS, environment creation Preferable for both - retail business knowledge, technical documentation

Data Model and Structure Definition: •Design and develop conceptual, logical, and physical data models for data sets across a variety of financial data sets. •Collaborate with product management and the economic research team to understand data requirements and translate them into effective data models. •Ensure data models are aligned with business goals and effectively support transactional, analytical and operational needs. Data Integration and ETL: •Design and implement ETL processes to integrate data from various sources into the data lakes. •Ensure data quality, consistency, and integrity throughout the data lifecycle. •Develop and maintain documentation for data models and ETL processes. Minimum Requirements: •5+ years' experience working within AWS technologies (S3, Redshift, RDS, etc.). •3+ years' experience working with dbt. •3+ years of experience with orchestration tooling (Airflow, Prefect, Dagster). •Strong programming skills in languages such as Python or Java. •Familiari

**Data Engineer** **Location:** Anywhre in the US (HomeBased) We are seeking a Data Engineer to join the Data team. This role will help deliver, maintain and evolve our new enterprise data platform, fulfilling our mission to empower our colleagues with access to trusted data, while enabling self-service analytics at scale across the entire organization. In this role, the data engineer will translate business requirements into value, embracing a product-focused approach in aiding the creation and roll-out of innovative data products. We are seeking a data and tech enthusiast who can help the team inspire a data-driven culture across Bentley. **Responsibilities** ? + Design, develop, and maintain efficient data pipelines to serve applications and stakeholders. + Create excellent engineering solutions in a modern cloud tech stack. + Establish and maintain data quality checks and verifications to ensure the accuracy and reliability of data + Enhance data processing and optimizing workflows

Qualifications: Bachelor's Degree in Computer Sciences or related field. 3-5 years of MS SQL Server development 2 years of database design, SSIS packages, Transact SQL, and query optimization experience is required Creation of stored procedures and other user-defined functions Data warehousing concepts, design, implementation and Dimensional Modeling

Job Title: Data Engineer Schedule: Monday-Friday, 8am – 5pm Location: On site (Willingboro, NJ or Chicago, IL). Reports To: Manager, IT Data Analytics ______________________________________________________________________ JOB SUMMARY As a Data Engineer at Radwell, you will be a key member of the data engineering team, responsible for designing, building, and maintaining our data environment. You will collaborate closely with fellow data engineers, reporting analysts, and software engineers to ensure our data pipelines are efficient, scalable, and reliable. The Radwell Data Engineer is a forward-thinking innovator who understands how to implement data solutions for next-generation challenges by working directly with the business to understand their data needs. Your work will help optimize activities across multiple functions such as pricing, warehousing, and procurement, driving data-driven decisions and operational efficiency throughout the organization. ESSENTIAL DUTIES AND RESPONSIBI

Required Skills: Python, Spark, AWS services, Glue, IAC Responsibilities Work with Analytics and Business - derive requirements, build Engineering pipelines aligned to standards, trouble shoot data discrepancies and ensure quality data

Email Work in an exciting and agile environment where you will have the opportunity to collaborate with a team of developers to shape our technical runway. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 34 markets and with 55 years of unbroken profitability. You'll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? Press space or enter keys to toggle section visibility Working with senior engineers, data analysts, and business users you would be building new pipelines and technical solutions that provide data to our data platform and enable reporting and analytics. You would be responsible for supporting existing pipelines and working with central platform teams to resolve errors and to implement new features. What you offer Press space or enter keys to toggle section