Experienced Data Engineer for Remote Work Opportunities – Cloud-Based Data Pipeline Development and Management at Blithequark

Introduction to Blithequark and the Industry Blithequark is a leading organization in the private sector, renowned for its innovative approach to data analysis and business decision-making. As a key player in the industry, blithequark is committed to harnessing the power of data science, statistical modeling, and technological advancements to drive business growth and excellence. The company's dedication to innovation and customer satisfaction has created a dynamic work environment that fosters creativity, collaboration, and professional development. At blithequark, we recognize the importance of data engineering in shaping business strategies and driving success. Our team of skilled professionals is passionate about leveraging data insights to inform business decisions, optimize operations, and enhance customer experiences. Job Overview We are seeking an experienced Data Engineer to join our team at blithequark, where you will play a crucial role in developing and maintaining data pipelines, databases, and architectures that support our media business. As a Data Engineer at blithequark, you will have the opportunity to work on exciting projects, collaborate with cross-functional teams, and contribute to the development of innovative data-driven solutions. This is a full-time, remote work opportunity that offers a competitive salary of $27 per hour and a chance to work with a talented team of professionals who share your passion for data engineering. Key Responsibilities As a Data Engineer at blithequark, your primary responsibilities will include: Gathering data requirements, creating source-to-target mappings, and developing data validation scripts Designing, implementing, and monitoring ETL/ELT data pipelines using SQL, Python, and other technologies Creating and maintaining database schema, tables, and views, as well as developing datasets to support science models and representations Collaborating with cross-functional teams, including data scientists, product managers, and engineers, to ensure seamless data integration and flow Utilizing technologies such as Snowflake, PostgreSQL, Python, Docker, Gitlab, and Windstream to support data engineering activities Developing and maintaining automated workflow schedulers and ensuring data quality, integrity, and security Essential Qualifications To be successful in this role, you will need: A Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field At least 2 years of experience in ELT/ETL data pipeline development and maintenance Proven expertise in using Python and SQL, preferably with Snowflake Experience working in a multi-environment setup (Dev, QA, Prod, etc.) and familiarity with DEVOP practices for code management and development Strong understanding of social database design and functionality Preferred Qualifications While not required, the following qualifications will be considered an asset: Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar Proficiency in cloud architecture and product offerings, ideally AWS Experience managing and deploying code using a source control system like GitLab/GitHub Familiarity with Docker and containerization Skills and Competencies To excel in this role, you will need to possess: Strong technical skills in data engineering, including data pipeline development, database design, and data architecture Excellent problem-solving and analytical skills, with the ability to break down complex problems into manageable components Effective communication and collaboration skills, with the ability to work with cross-functional teams and stakeholders Strong attention to detail, with a focus on data quality, integrity, and security Ability to work in a fast-paced environment, with a focus on delivering high-quality results and meeting deadlines Career Growth Opportunities and Learning Benefits At blithequark, we are committed to supporting the career growth and development of our employees. As a Data Engineer, you will have access to: Ongoing training and professional development opportunities, including workshops, conferences, and online courses Mentorship and coaching from experienced professionals in the field Opportunities to work on exciting projects and contribute to the development of innovative data-driven solutions A collaborative and dynamic work environment that fosters creativity, innovation, and growth Work Environment and Company Culture At blithequark, we pride ourselves on our positive and inclusive company culture. Our team is passionate about data engineering, and we are committed to creating a work environment that is: Collaborative and dynamic, with a focus on teamwork and open communication Innovative and forward-thinking, with a focus on leveraging the latest technologies and trends Supportive and inclusive, with a focus on diversity, equity, and inclusion Flexible and adaptable, with a focus on work-life balance and remote work opportunities Compensation, Perks, and Benefits As a Data Engineer at blithequark, you can expect: A competitive salary of $27 per hour Comprehensive benefits package, including health, dental, and vision insurance Opportunities for professional growth and development, including training and education programs A dynamic and supportive work environment, with a focus on collaboration and teamwork Flexible work arrangements, including remote work opportunities and flexible hours Conclusion If you are a motivated and experienced Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity at blithequark. With a competitive salary, comprehensive benefits package, and opportunities for professional growth and development, this is a chance to take your career to the next level and contribute to the success of a leading organization in the industry. Apply now to join our team of talented professionals and start building a rewarding and challenging career in data engineering. Apply for this job